The Darius Gant Show

Exploring practical applications of artificial intelligence in business. We learn from leading AI startups and executives how AI is reinventing the way we run businesses and our society.

A Dive into the AI Data Quality Revolution | Abe Gong, Great Expectations 05/09/2024

A Dive into the AI Data Quality Revolution | Abe Gong, Great Expectations Data quality issues can arise at various stages of the data pipeline, from data ingestion to model deployment. Common issues include null values, schema drift, and incorrect calculations. These seemingly small issues can have a significant impact on the accuracy and reliability of the data, leading to broken dashboards and loss of trust in the data system. In this episode, host Darius Gant interviews Abe Gong, the founder and CEO of Great Expectations, a leading data quality tool. Abe shares his insights into the world of data quality and how Great Expectations is solving the systemic problem of data quality in organizations. He explains the importance of building a robust testing system for data, similar to what software engineers do, in order to ensure accurate and reliable data. Abe discusses common data quality issues and how Great Expectations helps teams identify and fix these issues. He also explores the intersection of data quality and AI, highlighting the role of GX in ensuring the accuracy and trustworthiness of AI models. Throughout the conversation, Abe emphasizes the need for collaboration and communication in data teams to build trust and achieve data-driven success. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Abe Gong is a founder and CEO at Great Expectations, the world’s leading open source tool for data quality. Prior to working on Great Expectations, Abe was Chief Data Officer at Aspire Health, the founding member of the Jawbone data science team, and lead data scientist at Massive Health. Abe has been leading teams using data and technology to solve problems in health, tech, and public policy for over a decade. He speaks and writes regularly on data, AI and entrepreneurship. Time Stamps: 01:58 Abe Gong’s background and experience in data science 03:45 The pain point in the market that led to the creation of great expectations 05:00 Common errors and issues in data quality 06:47 Identifying and solving data quality issues 09:43 How great expectations support companies deploying AI models 12:45 Great Expectations involvement in generative AI use cases 16:34 Understanding the sensibilities and workflows of data developers 19:42 Building a remote-first team with a focus on open-source collaboration 22:11 Tips for running a remote team efficiently and effectively 24:41 Hiring independent and action-oriented individuals for remote work 27:24 Raising founds journey for Great Expectations. 30:08 Importance of technical leads on data teams 32:52 Difference between enterprise software sales and open source models 34:06 What is coming up for Great Expectations in the 2024 Resources Company website: https://greatexpectations.io/Twitter: https://twitter.com/expectgreatdata LinkedIn: https://www.linkedin.com/company/greatexpectations-data/ /episode/index/show/thedariusgantshow/id/31213172

The power of AI in transforming cybersecurity | Gregor Stewart, Sentinel One 04/18/2024

The power of AI in transforming cybersecurity | Gregor Stewart, Sentinel One One of the primary benefits of AI in cybersecurity is its ability to enhance perception and reasoning. Traditional security measures often rely on manual analysis of logs and data, which can be time-consuming and prone to human error. AI, on the other hand, can analyze vast amounts of data in real-time, detecting patterns and anomalies that may indicate malicious activity. This improved perception allows for early detection of threats and faster response times. In this episode, we speak with Gregor Stewart, an executive at Sentinel One, about the intersection of AI and cybersecurity. Gregor shares his journey in the tech industry, from his early fascination with text adventure games to his academic studies in AI and cognitive science. He discusses the evolution of natural language processing (NLP) and how AI has transformed the field of cybersecurity. He also explains how Sentinel One uses AI to detect and mitigate malicious activity on endpoints and in cloud environments emphasizing the importance of automation and autonomy in cybersecurity and how AI can enhance the speed and accuracy of threat detection and response. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Gregor Stewart is Tech executive with over 20 years of experience in software development (engineering and product management) at both privately and publicly held companies. Deep domain expertise in delivering Data Science, Machine learning and AI applications, with a particular focus on Natural Language technologies, Generative AI models (including fine-tuning, cost optimization) and multi-modal, conversational problems like customer journey modeling. Led and scaled engineering and research teams across the world through IPO (NYSE:MDLA) and private equity aquisition (Thoma Bravo), both organically and by acquisition; Adept at building and scaling large, high-performing distributed teams that successfully deliver products to enterprise and mid-market customers. Time Stamps: 02:20 Introduction and background of Gregor Stewart 10:12 Balancing expectations as a person guiding AI development 12:37 Executive challenge of prioritizing and budgeting AI projects 14:05 Overview of Sentinel One’s core products and implementation of AI. 16:46 The complexity of maintaining a good security posture 19:58 The skill level required for resolving security issues with AI assistance 21:53 AI’s ability to detect and resolve attacks that non-AI systems can’t. 28:09 How AI allows for more efficient querying of security data. 31:37 Transitioning from a startup to a larger organization with centralizing AI expertise. 36:18 Using AI to distribute and answer information 38:13 What is coming up for Sentinel One in the 2024 Resources Company website: Instagram: Twitter: LinkedIn: /episode/index/show/thedariusgantshow/id/30892378

Challenges of Data Collaboration in the World of AI | Alon Kaufman, Duality 04/11/2024

Challenges of Data Collaboration in the World of AI | Alon Kaufman, Duality In a world driven by data, organizations are constantly seeking ways to collaborate and leverage the power of artificial intelligence (AI) to solve complex problems. However, the challenge lies in the fact that data collaboration often requires sharing sensitive information, which raises concerns around privacy, security, and intellectual property (IP) protection. In this episode we interview Alon Kaufman, the CEO of Duality Technologies, about the challenges and solutions surrounding data collaboration in the age of AI. Alon shares his journey in the field of AI, starting from his early days in computational neuroscience to his experience at RSA and ZoomInfo. He explains the problem of data collaboration and the need for secure methods to share data while maintaining privacy and security. Alon introduces Duality Technologies and its mission to unlock the potential of data collaboration through encryption and privacy-enhancing technologies. He discusses the unique approach of using mathematics and encryption to enable secure data collaboration, highlighting the benefits for industries such as healthcare, finance, and government. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Alon Kaufman, Co-Founder and CEO of Duality Technologies, has 20 years of experience in the hi-tech arena, commercializing data-science technologies, leading industrial research and corporate innovation teams. Prior to founding Duality he served as RSA’s global director of Data Science, Research and Innovation. In addition to his leadership experience, he is accomplished in the fields of artificial intelligence, machine learning and how they interplay with security and privacy, with over 30 approved US patents in these fields. He holds a PhD. in Computational Neuroscience and machine learning from the Hebrew University and an MBA from Tel Aviv University. Time Stamps: 01:40 Alon’s background and transition into AI 04:52 Alon’s experience in data science and problem-solving 07:37 The challenge of data collaboration within AI 10:22 Duality as a software solution for data collaboration 13:34 Encrypted collaboration without sharing data 17:54 AI’s role in accessing unbiased data 20:33 Using duality to access partner’s data 23:50 Duality as a try-before-buy platform for startups 26:25 Government collaboration for cross-border use cases 29:06 The technical talent required in the early phases of building Duality 32:06 Building a global team and leveraging expertise in different locations 34:32 Balancing remote work and in-office collaboration for productivity 38:46 The funding journey and the benefits of being part of the AI ecosystem. 40:04 What is coming up for Duality in the 2024 Resources: Company website: Twitter: LinkedIn: /episode/index/show/thedariusgantshow/id/30782533

The Rise of Generative AI: Creating Competitive Advantage | Bartek Roszak, STXNext 04/04/2024

The Rise of Generative AI: Creating Competitive Advantage | Bartek Roszak, STXNext Generative AI, particularly retrieval augmented generation (RAG), is in high demand as companies seek to leverage its capabilities to improve operational efficiency and enhance customer experiences. - Building a successful generative AI project requires a combination of engineering and research skills, as well as a deep understanding of the specific use case and data sources involved. - Ongoing maintenance and monitoring are crucial for ensuring the continued success of generative AI projects, as models need to be regularly updated and evaluated to maintain accuracy and relevance. Today we sit with Bartek Roszak, who is the head of AI at STXNext, about the integration of ethical AI practices and compliance. Bartek shares his journey in AI, starting as a stock trader and transitioning to data science and deep learning. He discusses the evolution of STXNext from a Python development house to an AI-powered company and the growing demand for generative AI solutions. Bartek explains the concept of retrieval augmented generation (RAG) and its applications in various industries. He also highlights the importance of prompt engineering and the challenges of maintaining AI models post-deployment. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Bartek Roszak is a luminary in the AI sphere and the driving force behind STXNext’s AI strategy. With significant roles and achievements in the field of AI, Bartek has a background in stock trading and transitioned to data science and deep learning. He has experience in building AI solutions for various industries and specializes in generative AI, particularly in the area of retrieval augmented generation (RAG). Bartek is passionate about integrating AI into business operations and helping companies leverage AI for competitive advantage. Time Stamps: 02:26 Bartek’s background and transition into AI 04:51 Evolution of STXnext into an AI-focused company 07:12 Popular AI use cases and interest in generative AI 10:07 What is retrieval augmented generation (RAG): Use cases and interest 12:51 External uses of generative AI with high demand 14:48 Skills required to build and deploy gen AI products 16:38 Minimum experience with LLMs or machine learning needed to work with Gen AI 19:49 The importance of quality assurance in machine learning projects 21:43 Importance of having skillsets in prompt engineering. 23:19 Diversifying LLM base to mitigate downtime risks 24:52 Creating a competitive advantage by using LLM as part of a larger system 28:04 The process of working with clients on AI use cases 32:51 Post-project maintenance and client involvement 34:23 Transitioning the project to the client’s data science team 36:40 STX Next’s plans for 2024 Resources Company website: Twitter: LinkedIn: Instagram: /episode/index/show/thedariusgantshow/id/30681113

Building and Deploying of Generative AI Solutions | Ehmad Zubair, Cogent Labs 03/21/2024

Building and Deploying of Generative AI Solutions | Ehmad Zubair, Cogent Labs Generative AI has become a game-changer in various industries, with applications ranging from content generation to market research. - The demand for generative AI talent is high, and it is an employee’s market in this field. - Prompt engineering is crucial in effectively communicating with language models and ensuring accurate and human-like outputs. Building Gen AI products requires a different skill set compared to traditional software development. It’s important to understand prompt engineering, have knowledge of neural networks and backpropagation, and be familiar with frameworks like Langchain and vector databases. In this episode, we interview Ehmad Zubair, the co-founder of a web and mobile development agency that has recently shifted its focus to generative AI. Ehmad shares his journey from being a software engineer to diving headfirst into the world of AI. He discusses the challenges of building real-world AI applications and the skill sets required for success in the field. Ehmad also highlights the exciting use cases his company is working on, including AI-powered content generation and market research tools. Don’t miss this insightful conversation about the booming world of Gen AI. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Ehmad Zubair is the visionary CEO of Cogent Labs, a cutting-edge software development agency he founded in 2021. With a robust foundation in software engineering since 2014, Ehmad has steered Cogent Labs from its inception to a dynamic team of 52 professionals in just three years. Under his leadership, the company has carved out a niche in Generative AI, alongside web and mobile development, contributing to global impact projects, including collaborations with UNICEF's Internet of Good Things. Ehmad is not just a business leader but also an influential voice in the tech community, running a successful YouTube channel. Here, he shares insights into the software engineering landscape in Pakistan, offering valuable knowledge to aspiring engineers and industry veterans alike. Outside of his professional pursuits, Ehmad is an avid football enthusiast and a content creator, further showcasing his diverse interests and talents. Follow his journey and insights on his website, cogentlabs.co, on Instagram @ehmad.zubair, and on his YouTube channel, Ehmad Zubair, to stay at the forefront of software engineering and Generative AI innovations. Time Stamps: 02:09 Introduction and background of Ehmad Zubair 04:06 The rise of online programs like Udacity for AI upskilling 07:46 Entry into building real-world AI applications 09:48 Use cases and applications of generative AI 14:48 Challenges of selling Gen AI to enterprise customers due to data privacy and security concerns 18:05 Challenges of working with cutting-edge generative AI models 21:04 Importance of hiring curious and adaptable team members 22:00 Required skills for building generative AI products 25:56 Prompt engineering as a programming language for generative AI 27:58 Code is still the most efficient way to program machines. 29:41 Finding the right talent for Gen AI 32:28 Building tools to save time and money is the focus. 34:54 Upcoming Projects for this 2024. 37:30 Introduction to a fact-checking AI agent that helps minimize hallucinations and hyperboles 40:11 How to get in contact with the Cogen Labs team Resources Company website: Facebook: LinkedIn: Instagram: /episode/index/show/thedariusgantshow/id/30472568

AI for Automating Mundane Tasks in Group Collaboration | Jason Flaks, Xembly 03/07/2024

AI for Automating Mundane Tasks in Group Collaboration | Jason Flaks, Xembly In today’s fast-paced business environment, time is a valuable resource. Yet, many employees find themselves bogged down by mundane tasks that hinder their ability to focus on more strategic work. Xembly, an AI-powered platform, seeks to address this challenge by automating group tasks and streamlining collaboration processes. In this episode, we interview Jason Flaks, co-founder of Xembly, about the role of AI in automating mundane tasks for knowledge workers. Jason shares his nontraditional path into the world of AI, starting as a musician and transitioning to software engineering. He discusses the pain points Xembly aims to solve, such as group collaboration tasks like scheduling meetings and taking meeting notes. Jason explains the special sauce of AI in solving these problems more efficiently and highlights the differentiation of Xembly from other tools in the market. He also dives into the various AI components involved in Xembly’s solution, including conversational understanding, planning, negotiation, and distribution of information. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Jason is presently serving as the Co-founder and Chief Technology Officer at Xembly, where he leverages years of expertise in adeptly crafting software products rooted in cutting-edge technologies such as Artificial Intelligence, Machine Learning, Virtual and Augmented Reality, Speech Recognition, Audio Signal Processing, and Streaming Media. As a founding member of both the Microsoft Xbox Kinect and HoloLens teams, he played a pivotal role in groundbreaking innovations, notably contributing as the primary inventor of open microphone, no push-to-talk speech recognition. With a remarkable portfolio boasting 40+ patents in conversational AI and natural language innovations, Jason brings a wealth of knowledge to the tech industry. He holds a Master's degree in Engineering from the University of Miami. Time Stamps: 01:48 Introduction and background of Jason Flaks 08:17 Pain points that lead to creating Xembly 14:00 How Calendly works well in a lopsided marketplace but not in an organization 18:26 The focus on solving the end-to-end lifecycle problem 22:43 Differentiating between AI and language models 24:20 AI challenges in identifying speakers in a room 26:19 Challenges of building a dialogue system for group negotiations 29:30 Importance of planning, negotiation, and decision-making in AI systems 31:50 Hiring resources for AI product development 35:40 Importance of expertise in conversational AI for feature generation 38:41 Benefits of domain expertise in building AI systems 40:04 Getting the right person for the right job 44:06 What new updates can we expect from Xembly in 2024 47:24 How to get in contact with the Xembly Team Resources Company website: Twitter: LinkedIn: Instagram: /episode/index/show/thedariusgantshow/id/30267693

Revolutionizing Workforce Learning with AI Mentorship | Iulian Vlad, Korbit 02/22/2024

Revolutionizing Workforce Learning with AI Mentorship | Iulian Vlad, Korbit The rise of online learning platforms like Coursera and Udemy has created a massive demand for learning new skills. However, the completion rates on these platforms have been disappointingly low, with only 1% to 2% of learners actually finishing a course. This is due to the lack of personalization and the absence of support for learners who may have different backgrounds and prerequisites. Korbit recognized this problem and set out to create a solution that would address the individual needs of learners. Their initial approach was to build an e-learning platform that used AI to personalize the learning experience. However, they soon realized that even with personalization, learners still struggled to identify what skills they needed to learn and how to apply them in their jobs. In this episode, we sit with Iulian Vlad, CEO and Co-founder of Korbit. Iulian shares his journey from being a math and AI enthusiast to working on personal assistants for Amazon's Echo device. He discusses the pain points in online learning and workforce training, highlighting the lack of personalization and the disconnect between learning and job requirements. Iulian explains how Korbit's AI mentor platform solves these issues by providing personalized, in-context learning within the workflow of software engineers. He also discusses the challenges of remote work and the importance of building a strong team culture. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Iulian is the founder of Mila spin-off Korbit, a startup on a mission to transform the future of work and learning on the job. Korbit is building an AI Mentor for Software Engineering which does code reviews and just like a senior engineer detects issues and explains how-to fix them. The AI Mentor can detect over 10,000 issues from critical bugs and security vulnerabilities to code architecture and performance issues. The AI Mentor then trains the software engineering team to resolve them. The result: teams ship code better, faster and accelerate their code review process by 10x while improving code quality and upskilling engineers. Iulian completed his Ph.D. in Artificial Intelligence and his Master's in Computer Science and Computational Statistics. He is the winner of the C2 Emerging Entrepreneurs Award and NeurIPS Competition Award, and is an alumni of the Mila research lab with over 20 peer-reviewed scientific papers and books published to date. Iulian was the employee #1 of Copenhagen startup DigiCorpus building AI for healthcare solutions. There he developed from scratch their AI-powered physiotherapy solution and launched it into the market. Time Stamps: 02:06 Julian’s background in AI and his work on personal assistants 06:00 The pain point in workforce training and learning 09:52 Companies’ struggle to identify future skill needs 12;48 Korbit’s approach to personalized learning and relevancy 15:00 Building an AI mentor product that identifies needs and delivers targeted Micro lessons. 20:25 Why technical founders struggle to attract business people and vice versa. 22:44 Managers often don’t know what their team needs or the skills their team members hav. 24:37 Training must focus on real issues, not management’s assumptions 27:26 Using data from code repositories and comments to identify issues and make recommendations 30:52 Prioritizing privacy by deleting source code and offering a self-hosted solution 33:37 Remote team and best practices for remote work using the product internally 37:01 Fundraising journey for an AI startup 40:48 Challenges of AI startups and competition with OpenAI 42:15 Languages Supported By the Engineer AI mentor 44:16 What coming up, contact information, and how to learn more about Korbit Resources Company website: LinkedIn: Facebook: Twitter: /episode/index/show/thedariusgantshow/id/30061478

AI-Powered Approach to Career Development | Michael Simpson, Pairin 01/11/2024

AI-Powered Approach to Career Development | Michael Simpson, Pairin Today we sit with Michael Simpson, the founder of Pairin; a company that uses AI to connect individuals to relevant resources and career opportunities. With a background in the technology industry, Michael has always been involved in cutting-edge technologies and has a passion for leveraging AI to solve complex problems. He shares his journey and the inspiration behind creating Pairin, a platform that helps individuals navigate their careers and make informed decisions. With AI-driven features like resume and cover letter creation, Pairin aims to provide personalized guidance and improve the job search process. Michael emphasizes the importance of AI in constantly improving and adapting to user needs, ultimately helping individuals find success in their chosen paths. AI fulfills people’s desires by providing instant answers and enabling them to do things they couldn’t do on their own. Pairin’s product is a framework that allows institutions to build customized workflows and conversations with individuals to help them make wise decisions and navigate their career paths. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Michael is a son of educators, and corporate intrapreneur turned 3x entrepreneur. His passion for helping people reach their potential was fuelled by his rise from poverty to international recognition as a market strategist. He co-founded PAIRIN after over a decade as a certified coach and spent seven years living in Russia coaching many at-risk young adults to successful careers. As the CEO of PAIRIN, he works to bridge the opportunity gap for future generations by making every person’s career and education journey more relevant and attainable. Under Michael’s leadership PAIRIN, founded and based in Denver, CO, has received numerous awards, including the 2023 Inc. Fastest-Growing Company, BuiltIn’s 2023 & 2022 Best Places To Work for Small Colorado Companies, 2021 EdTech Breakthrough Award for College Prep Company of the Year, Business Insider’s 50 Coolest Companies in America, Outside’s 50 Best Places to Work in 2021, 2019 and 2018, Denver Business Journal’s Best Places to Work in 2019, the 2017 Denver Chamber of Commerce Start-Up of the Year, the 2017 Colorado Technology Association APEX Emerging Tech Company of the Year award and 2017 Colorado Companies to Watch winner. Time Stamps: 01:55 Introduction and background of Michael Simpson 06:13 The pain point that led to the creation of Pairin 12:03 The problem Pairin solves: connecting people to relevant resources 13:55 Designing workflows to guide individuals through career decisions 16:41 Selling to state agencies, workforce organizations, and trade associations 18:36 Using AI avatars and resume/cover letter creator 21:17 How descriptive AI educates users in resume and cover letter creation 25:35 Managing algorithms to bypass employment gaps 28:23 Building technology with a diverse team of experts 30:26 Vetting AI companies to ensure their technology is genuine 33:12 Integrity and truthfulness in AI companies 34:18 Identifying patterns in large datasets with AI 36:30 The difference between traditional software and AI products 39:40 Contact information and how to learn more about Pairin Resources Company website: LinkedIn: Facebook: Twitter: /episode/index/show/thedariusgantshow/id/29443118

The Role of Data in AI Evolution | Daniela Braga, Defined.AI 01/05/2024

The Role of Data in AI Evolution | Daniela Braga, Defined.AI In the realm of artificial intelligence (AI), data plays a crucial role. In essence, it serves as the backbone of AI, providing the necessary nourishment to the algorithms and models that power intelligent systems. As AI continues to evolve, data will remain a primary focus to ensure the continued growth and success of intelligent machines. In this episode we sit with Daniela Braga, CEO and Founder of Defined AI. Daniela discusses her journey in AI and the pain point she set out to solve. She explains how her background in linguistics led her to work on the first text-to-speech system in European Portuguese and voice assistants for Microsoft. Daniela saw the need for data at scale, especially in local languages, and founded Defined AI to address this problem. The company offers a crowdsourcing platform and a marketplace for training data, ensuring responsible AI and machine learning readiness. Daniela also shares her thoughts on the future of AI, the challenges of data collection, and the impact of regulations on the industry. With the increasing usage of AI in our lives, the ethical implications of data collection and AI algorithms come into focus. Dr. Braga emphasizes the importance of responsible AI and the need for companies to be transparent about how they collect and use data. Defined AI takes a proactive approach to ensure that the data it collects is consented and properly vetted. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Dr. Daniela Braga is the founder and CEO of Defined.ai, one of the fastest-growing startups in the AI space. She has been the recipient of several awards, including the E&Y Entrepreneur of the Year Pacific Northwest 2020 Award, #27 Deloitte Fast 500 2020 (#1 in the Pacific Northwest region); #27 in Inc.5000 in 2020, and Goldman Sachs Most Intriguing 100 Entrepreneurs in 2021. She is a member of the World Economic Forum’s Expert Network as a Tech Pioneer and AI Expert in WEF Davos 2022. She’s also a YPO and a Chief member. Dr. Braga has raised over $80 million of Venture Capital, making her the woman founder in AI who has raised more capital in the world. Dr. Braga has been appointed to the National Artificial Intelligence (AI) Research Resource Task Force, a 12-person body that advises the US president on the AI strategy of the United States. She is also an advisor to the President of Portugal. Time Stamps: 02:20 Introduction and background of Daniela Braga 06:19 Importance of local languages and inclusivity in AI 09:50 Limitations of data availability in generative AI 11:47 Utilizing crowdsourcing and synthetic data for AI training 14:21 Acquisition and processing of specific data for AI solutions 17:54 Advantages of the data lake and metadata extraction 20:56 Discussion on proprietary data and its use in AI solutions 23:43 Awareness of data usage and government regulations 28:12 Potential shift towards paying for data protection and meaningful content 29:39 OpenAI’s growth, Microsoft deal, and potential regulation 32:22 Lack of reverse engineering measures and outdated information in AI search results 34:29 Defined AI’s use of AI internally 37:40 Daniela Braga’s experience raising VC capital 40:17 How to learn more about Defined AI Resources Company website: https://defined.ai/ LinkedIn: https://www.linkedin.com/company/definedai/ Twitter: https://twitter.com/Definedai /episode/index/show/thedariusgantshow/id/29354043

The Rise of Conversational AI in Heavy Industry 11/30/2023

The Rise of Conversational AI in Heavy Industry Artificial intelligence (AI) has become a household term, and its applications are revolutionizing various industries. One area where AI is making a significant impact is heavy industry, including manufacturing, energy, and utilities. In these sectors, companies often face the challenge of outdated digital infrastructure, which hampers productivity and data quality. However, the emergence of conversational AI is changing the game by streamlining processes and improving efficiency. In this opportunity we speak with Mark Fosdike, the CEO & Co-founder of Datch, a company that specializes in conversational AI solutions for heavy industry. Mark's background in aerospace and his firsthand experience with the challenges faced by frontline workers in heavy industry inspired him to develop a solution that would revolutionize the way data is captured and processed. In our conversation, Mark shared insights into the journey of building Datch and the transformative power of conversational AI. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Mark Fosdike, CEO of Datch, is a visionary leader in the field of asset management and a dedicated entrepreneur. With over two decades of industry experience, Mark has an exceptional understanding of the challenges and opportunities in asset management, and a proven track record of driving innovation and growth. Before founding Datch, Mark held several senior leadership positions in renowned global companies, where he gained extensive expertise in industrial operations, and technology. His passion for delivering cutting-edge solutions led him to establish Datch, with the aim of revolutionizing asset management through the integration of advanced AI-driven features. Time Stamps: 01:54 Mark’s background before creating Datch 04:14 Identifying the problem of inefficient data input in heavy industry 06:20 How Datch uses conversational AI to speed up processes and improve data quality 09:13 Adaptability of Datch's interface for frontline workers 10:40 Leveraging large language models for accurate speech-to-text and prompt engineering 13:12 Customization and application to specific use cases 15:48 Approach to acquiring new customers 17:55 Typical sales cycle and stakeholders involved 19:34 Changing interest in AI solutions over time 22:59 Mark discusses the need for a consultative sales approach 24:38 Founders' background and passion for building things 28:21 Importance of building a network and finding advisors 29:58 Getting advisors to buy in with equity and commitment 32:30 Hiring strategy and the importance of hungry generalists 34:01 Fundraising journey and challenges as a first-time founder 37:58 Exciting things coming up in the future 38:53 How to get in contact with the Datch team Resources Company website: Twitter: LinkedIn: Facebook: /episode/index/show/thedariusgantshow/id/28870188

AI-Powered Compliance and Customer Care | Dilip Mohapatra, Cognitive View 11/23/2023

AI-Powered Compliance and Customer Care | Dilip Mohapatra, Cognitive View In this episode, we interview Dilip Mohapatra, the CEO, and founder of Cognitive View, a company that uses AI to solve compliance and customer complaint issues in regulated industries. We discuss how their AI technology is helping businesses in regulated industries monitor and analyze customer conversations to ensure compliance and improve customer service. He shares how the idea for Cognitive View came about and the challenges they faced in building their AI solution. Dilip explains the importance of understanding complex legal requirements and how their AI model can identify compliance breaches in customer conversation. He also discusses the value of generative AI and the unique capabilities its offers. Dilip highlights the metrics they use to measure the success of their ai solution, including reducing compliance and conduct risk by up to 70% and reducing customer complaints by 50%. He also touches on the fundraising journey for cognitive view and the importance of finding investors who can provide value beyond just capital If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Dilip Mohapatra is the founder of Cognitive View, a regtech company that creates solutions that monitors communication and collaboration channels to automate compliance, quality, customer experience, and conduct risk. It provides the necessary tools to create a customer-centric culture and risk-based supervision that automates operational risk. Cognitive View has been recognized as RegTech100 globally; AI Fintech 100; the best vendor solution for Managing Conduct Risk at the Regtech Insight APAC Awards 2021; and a 2021 IBM Beacon Award Finalist. Dilip has successfully built an enterprise software channel business with IBM and held a variety of product management roles, including HP, Hyro, and Ipedo. Time Stamps: 01:58 Background of Dilip and Cognitive View 04:05 Challenges faced by companies in managing compliance and misconduct 05:11 Monitoring conversations and identifying compliance breaches with AI 07:36 The importance of understanding complex legal requirements in AI models 10:28 Use cases of Ai in voice, video, and text conversations 12:29 Target industries and metrics for ROI 15:30 Building the Ai solution and the importance of talent 18:03 Challenges in accessing data and the use of proprietary data 22:01 Proof of concept process and requirements for customer engagement 27:01 Leveraging generative AI and proprietary data for unique solutions 30:45 Providing contextual and industry-specific AI solutions 34:33 Fundraising journey and the value of investors 36:56 Talent sourcing ante importance of distributed teams 38:49 Balancing privacy and data sovereignty in a distributed company 42:00 How to get in contact with the Cognitive View team Resources Company website: Twitter: LinkedIn: /episode/index/show/thedariusgantshow/id/28748483

Using AI for Insurance Claims and Underwriting | Stan Smith, Gradient AI 07/20/2023

Using AI for Insurance Claims and Underwriting | Stan Smith, Gradient AI Artificial Intelligence (AI) has revolutionized how businesses operate, and supply chain management and insurance are no exceptions. With the ability to analyze vast amounts of data and identify patterns, AI has the potential to transform supply chain operations and insurance claims management, making them more efficient, cost-effective, and responsive to customer demands. In this thought leadership article, we explore the power of AI in supply chain management and insurance. In this episode, we sit with Stan Smith CEO of Gradient AI. Stan has founded six companies and has been working with machine learning and AI since the late 1990s. Stan shares his experiences working with AI and machine learning, starting with his first startup that focused on supply chain management. He discusses how his company used machine learning to predict which suppliers were likely to have issues and how this helped his clients save millions of dollars. Stan also talks about the pain point he saw in the insurance market and how Gradient AI is assisting businesses to leverage AI to solve complex problems and improve their operations. In this episode, Stan also talks about the importance of equity in startups, the challenges of building AI solutions in the insurance industry, and the measures Gradient AI took to ensure client data was secure. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Stan Smith is the Founder and CEO of Gradient AI. Stan founded Gradient AI, first as a unique practice within Milliman to focus on the risk management and insurance industry’s most challenging business problems. He acquired the business from Milliman in 2018, founding Gradient AI as a rapidly growing independent SaaS organization. With nearly 30 years of experience growing AI and technology organizations, Stan’s leadership ensures that Gradient AI is applying the latest Artificial Intelligence and Machine Learning technologies to the insurance industry, resulting in proven financial performance for its stellar list of customers and better treatment and outcomes for individuals. Stan has held founding or executive-level roles for multiple startup companies, including Vice President at MatrixOne, Executive Vice President and General Manager at Agile Software, and CEO and Founder at OpenRatings.Stan also led the development of patented technologies including: technology that predicts bankruptcies for small, privately held suppliers; a global database to improve supplier performance for more than 80 million companies; and, technology that combines assessments with performance data to identify opportunities for reducing inefficiencies through lean initiatives. Time Stamps: 02:17 Stan Smith's background and experience in the startup world 06:15 Paint point that led to the idea for Gradient AI 09:04 Importance of identifying high-risk claims early 12:18 Ability of Gradient AI's models to accurately predict the cost of a claim 14:32 The complementary nature of AI and human adjusters in claims processing 17:07 Engaging with clients in underwriting operations 19:52 Integration of Gradient AI solutions into commercial systems 23:40 Challenges of building AI solutions in the insurance industry 25:11 Importance of having a team with both AI and insurance expertise 27:14 The importance of culture and team in attracting talent 29:36 Incentives that Gradient AI offers to attract the right talent 32:51 Educating insurance companies about AI and the impact of the pandemic 37:29 Turning interest in AI into investible business problems 40:14 Fundraising journey and partnerships with insurance-focused venture capitalists 41:57 Selecting investors based on industry and AI experience 43:44 Whats coming up new for Gradient AI 44:10 How to get in contact with the Gradient AI team Resources: Company website: https://www.gradientai.com/ Twitter: https://twitter.com/GradientAI1 Facebook: https://www.facebook.com/gradientai/ LinkedIn: https://www.linkedin.com/company/gradientai/ /episode/index/show/thedariusgantshow/id/27508758

The Promise of AI in Revolutionizing Medicine | Karim Galil, Mendel.AI 07/13/2023

The Promise of AI in Revolutionizing Medicine | Karim Galil, Mendel.AI In this episode, we sit with Dr. Karim Galil, the founder and CEO of Mendel.AI, an artificial intelligence-powered platform that extracts insights from medical records to improve patient outcomes. Dr. Galil shares his journey from practicing medicine to becoming a tech entrepreneur and the role that AI can play in making healthcare more data-driven. He discusses the challenges of subjective medical practices and the potential for AI to learn from every patient's journey. Dr. Galil explains that symbolic AI is more focused on teaching machines fundamentals of logic, rules, and concepts, while machine learning is more focused on learning from patterns. He gives an example of the opioid crisis, where a machine learning model would learn that opioids are great because humans are prescribing them, while a symbolic system would understand what opioids are and what the best options are. In the process of building AI in healthcare, Mendel.AI has used both symbolic AI and machine learning. Dr. Galil also discusses the challenges of talent acquisition in the AI industry and how the economy can impact AI talent availability. He emphasizes the importance of hiring talent with grit, curiosity, and coachability and the benefits of hiring mid-level to junior talent to assist the genius. Mendel.AI is a healthcare platform that uses symbolic AI and machine learning to provide personalized treatment plans for patients. The platform reads every medical record and encounter between patients and healthcare systems to help physicians make more objective decisions. Mendel.AI works with big pharmaceuticals, payers, and data companies to help them read their data and glean insights to make better decisions. The platform can help pharmaceutical companies understand which patients respond better to what drug and in what occasions, and payers can decide whether to cover a certain medication or not. Mendel.AI uses domain experts to learn from, rather than just data and can help pharmaceutical companies discontinue drugs that are not effective and optimize their drug offerings. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Dr. Karim Galil, MD, is the CEO and Co-founder of Mendel.AI. Mendel's mission is to learn from every patient by structuring and de-identifying patient data at a machine scale and human fidelity to power clinical and research use cases. Dr. Galil’s experience as a physician demonstrated that medicine does not advance at the same rate as technology. With Mendel, he aims to bridge this gap, facilitate clinical research at scale, and make medicine objective. Dr. Galil’s expertise in AI, medical informatics, and digital health makes him a sought-after presence at global conferences. Time Stamps: 01:49 Introduction of Dr. Karim Galil and his background in medicine 06:59 The potential for AI to learn from every patient's journey 10:41 The challenges of working with unstructured medical data 12:19 The importance of explainable AI in healthcare 15:20 Using real-world data to identify drug effectiveness in specific patient profiles 18:02 The difference between machine learning and symbolic AI 21:09 Difference in talent and approach needed for symbolic AI vs machine learning 23:02 The process of building concepts for symbolic AI 25:53 Challenges of talent acquisition in the AI industry 27:49 The impact of the economy on AI talent availability 31:49 The importance of hiring talent with grit, curiosity, and coachability 35:18 Building a competitive advantage and a mode in AI startups 38:53 Challenges of finding the right investors for AI startups 41:51 The myth of VCs being a value add and the importance of cash and brand 43:01 Who is the end user and how do they engage with the product 45:49 How to get in contact with the Mendel team Resources: Company website: https://www.mendel.ai/ Twitter: https://twitter.com/mendel_ai_ Facebook: https://www.facebook.com/mendelai/ LinkedIn: https://www.linkedin.com/company/mendel-ai /episode/index/show/thedariusgantshow/id/27422325

The Intersection of Medicine and AI | Michael Abramoff, Digital Diagnostic 06/22/2023

The Intersection of Medicine and AI | Michael Abramoff, Digital Diagnostic Today we sit with Michael D. Abramoff, a neuroscientist and the founder of Digital Diagnostics, a company that leverages artificial intelligence (AI) to provide autonomous medical diagnosis. In this interview, Michael shares his background and how he got into AI, as well as his vision for the future of medical diagnosis. He discusses how he uses AI to make medical diagnoses, the challenges he faces, and the potential for AI to revolutionize healthcare. He also talks about his involvement in other AI-related projects and his thoughts on the ethical implications of AI in healthcare. In addition, Michael delves into the safety concerns surrounding AI, particularly with language learning models (LLMs), and the importance of ensuring that AI is safe and free of bias. Michael’s vision for AI in healthcare goes beyond mere assistance or augmentation of human decision-making. He believes that AI can make diagnoses and treatment decisions autonomously, without the need for human intervention. However, the promise of autonomous AI must be balanced with the potential pitfalls. As he pointed out, AI that learns from biased or fallible humans can produce models that are worse off. In healthcare, this could lead to harm to patients if doctors blindly follow AI recommendations. Digital Diagnostics is a company that uses AI to diagnose diabetic retinopathy and increase healthcare access for underserved patients. The AI is trained to detect specific lesions using clinical knowledge and chunk by chunk learning to avoid bias. Healthcare providers can approve or disapprove the AI's recommendations, and the company aims to supplement rather than displace professionals. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Michael D. Abramoff, MD, PhD, is a fellowship-trained retina specialist, computer scientist, and entrepreneur. He is Founder and Executive Chairman of Digital Diagnostics, the first company ever to receive FDA clearance for an autonomous AI diagnostic system. To transform the quality, accessibility, and affordability of global healthcare through the automation of medical diagnosis and treatment. In primary care, it can instantaneously diagnose diabetic retinopathy and diabetic macular edema at the point of care. Dr. Abramoff developed an ethical foundation for autonomous AI that was used during the design and validation, and regulatory and payment pathways for autonomous AI. As the author of over 350 peer-reviewed publications in this field, he has been cited over 42,000 times, and is the inventor of 20 issued patents and many patent applications. Dr. Abramoff has mentored dozens of engineering graduate students, ophthalmology residents, and retina fellows. His passion is to use AI to improve the affordability, accessibility, and quality of care. Time Stamps: 02:10 Michael's background as a neuroscientist and his interest in AI 05:37 Safety concerns surrounding AI, particularly with LLMs 07:08 The challenges of implementing AI in healthcare 09:07 The importance of AI supporting decision making rather than making decisions 11:02 The potential for AI to revolutionize healthcare 15:25 The importance of ensuring access to healthcare for all 18:40 The pain points behind creating Digital Diagnostics 21:49 Creating an ethical framework for regulation and reimbursement of AI 24:02 Potential for AI to outperform human experts in diagnosing medical conditions 26:00 Importance of clinical outcomes: acquiring data for AI and ensuring inclusivity 29:26 The impact of pigmentation on AI training data 31:37 Talent shortage in AI: transition from rule-based systems to machine learning 33:00 Understanding the fundamentals of AI despite increased efficiency 35:10 The need to prove the worth of AI in healthcare through clinical outcomes 37:24 How to get in contact with the Digital Diagnostics team Resources: Company website: Facebook: LinkedIn: /episode/index/show/thedariusgantshow/id/27229401

Transforming Businesses and Ensuring Security With AI | Pankit Desai, Sequretek 06/15/2023

Transforming Businesses and Ensuring Security With AI | Pankit Desai, Sequretek In this episode, we sit with Pankit Desai, a seasoned corporate leader with nearly three decades of experience in the tech industry. Pankit shares his insights into the ever-evolving world of technology and its profound impact on businesses and society. He also takes us on a journey through the waves of technological advancements he has witnessed throughout his career, from crowdsourcing to digital transformation. We explore the advantages these waves have brought, including labor arbitrage, price advantage, and time-to-market advantage, allowing companies to stay competitive in the ever-changing market landscape and we discover how technology has become an integral part of our daily lives, driven by the internet and the proliferation of mobile devices. The conversation then turns to the integration of artificial intelligence (AI) into businesses and organizations. Pankit highlights the prerequisites for AI success: data, compute capacity, and connectivity. They explore how these prerequisites have made AI more accessible, paving the way for its positive impact on various aspects of life. With a focus on security, Pankit shares his expertise in applying AI to tackle the challenges of a rapidly evolving threat landscape. He emphasizes the limitations of siloed security solutions and reveals how AI can provide real-time threat identification and response without additional manpower. He then recounts his own journey of founding Secure Tech eight years ago, where he leveraged AI to address the critical cybersecurity problem. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Pankit Desai is an Indian entrepreneur and the co-founder and CEO of Sequretek, a cybersecurity, cloud security products, and services company. He co-founded Sequretek in 2013, along with Anand Naik, and has been instrumental in growing the company into a leading provider of cybersecurity and cloud security solutions. Before starting Sequretek, Pankit held various technology leadership and management roles in the IT industry across companies such as across companies such as NTT Data, Intelligroup, and Wipro Technologies. He holds a degree in computer engineering and has a strong background in technology and entrepreneurship. At Sequretek, he is proud of the growth that this team has been able to achieve within a short duration. With product offerings that have found resonance with over 120 customers across industry segments, it has been able to grow at phenomenal growth rates and has ambitions to create India’s first truly global security product and solutions company. Under Pankit's leadership, Sequretek has won several awards and recognition for its innovative solutions and commitment to the cybersecurity industry. Time Stamps: 01:56 Pankit’s background on AI and the impact of technology on everyday life 06:07 Impact of AI on businesses and organizations 09:35 Exploring the power of AI in cybersecurity 12:39 Possibility of AI-driven security solutions for data consumption and threat response 14:23 Zero-day threats and data acquisition strategies 19:27 AI product differentiation and competitive advantage 21:32 Benefits of AI for security challenges 25:30 Building trust and acquiring customers in the cybersecurity space 27:59 Closing deals and raising capital 30:05 Leveraging AI and security to run a capital efficient business 32:46 Using offshore talent for capital efficiency in the product build lifecycle 34:44 Leveraging talent in India for product engineering success 37:18 Strategies for building a secure and successful business in 2023 39:16 Impact of large language models on the threat environment 41:01 How to get in contact with the Sequretek team Resources: Company website: Facebook: Instagram: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/27147432

The Future of Compliance and Security with AI | Rachael Greaves, Castlepoint 06/08/2023

The Future of Compliance and Security with AI | Rachael Greaves, Castlepoint In this episode, we dive into the fascinating world of compliance and security with special guest Rachael Greaves, co-founder of Castlepoint, a tech company revolutionizing the industry. Rachael shares her journey, starting from her early days at Hitachi Data Systems, where she discovered her passion for storage systems and eventually found her way into the field of audit. Rachael's frustration with the constant shortcomings in compliance and security practices led her to invent a groundbreaking approach utilizing artificial intelligence. Together with co-founder Gavin McKay, she transformed their consulting company into a product company driven by AI technology. They recognized the critical need for advanced technology solutions in meeting compliance obligations, both in government and private entities. Rachael also discusses her experience with a large military project audit, which inspired her to create Castlepoint. Feeling unsatisfied with the outcome, she embarked on a mission to help organizations succeed by offering a comprehensive approach to security and audit services. Castlepoint provides a unique lens, combining policy expertise with technical proficiency to protect assets and ensure compliance with security regulations. Audits, reviews, and risk assessments are just a few of the services they offer to help companies stay secure and compliant. Furthermore, Rachael sheds light on the challenges organizations face in managing data and systems effectively. With the ever-growing volume and speed of data generation, and the multitude of systems in use, finding a solution that balances secure data management without compromising user, system, and network performance is a daunting task. Rachael emphasizes the need for innovative solutions that alleviate the burden on under-resourced governance teams. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Rachael Greaves is a records and information management thought leader and designed the Castlepoint command and control product. Rachael has consulted on large-scale records, security, and audit projects in government and regulated industries with complex integrated environments, and developed Castlepoint in response to the tension seen in organizations between compliance, usability, sustainability, and cost. Rachael is a Certified Information Professional (CIP), Certified Information Systems Auditor (CISA), Certified Information Security Manager (CISM), and Certified Data Privacy Systems Engineer (CDPSE), and is certified in project, change, and records management. With a cultural anthropology and linguistics background, Rachael brings ethical, global, and sustainable practices to the sector. Her innovative technology concept has transformed the compliance and risk management outcomes of multiple organizations, by automating the application of complex and multi-layered regulatory obligations to their data holdings. Rachael’s mission is to improve outcomes for citizens and stakeholders by helping governments and organizations to provide better, more accountable services. Time Stamps: 02:14 Rachael’s background and journey on AI 05:16 Audit compliance and AI solutions for the government and corporate entities 09:50 Castlepoint product company: exploring solutions to data management 13:56 AI-powered records management 20:27 Difference between automation and supervised machine learning 23:41 Exploring AI solutions for records retention schedules 27:53 Benefits of rules as code modeling for regulatory compliance 29:15 Analysis of Castlepoint AI for state government entity inquiry 32:41 AI-powered abuse detection 34:17 Benefits of using Castlepoint for compliance and data destruction 38:10 Benefits of Castlepoint for data management and AI model compliance 40:10 Risks associated with AI: robo debt, phishing emails, and business email compromise 44:32 How to get in contact with the Castlepoint team Resources: Company website: Facebook: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/27067734

Unleashing the Potential of Structural Biology with AI | Raphael Townshend, Atomic AI 06/01/2023

Unleashing the Potential of Structural Biology with AI | Raphael Townshend, Atomic AI In this episode, we delve into the fascinating world of AI-driven drug discovery and its potential to revolutionize the field of structural biology. Our guest, Raphael Townshend, the founder of Atomic AI, shares his journey from engineering to AI and his profound interest in the structural biology space. Raphael discusses his background in engineering and how his focus on AI, particularly computer vision, led him to pursue a Ph.D. in AI with a keen interest in structural biology. He explains how he discovered the relatively unexplored area of structural biology and recognized its potential for AI algorithms to make a significant impact. The conversation takes a deeper dive into the potential impacts of AI on drug discovery, with a particular focus on its application in finding cures for diseases with no known remedy, including Alzheimer's, Parkinson's, various cancers, and infectious diseases. Raphael explains how AI has already demonstrated remarkable success in folding molecules, an achievement that once required extensive time and resources. By leveraging AI algorithms, researchers can now significantly reduce the time and cost involved in the drug discovery process. Discover how AI algorithms are reshaping the landscape of drug discovery and paving the way for more efficient and cost-effective treatments. Tune in to this episode to explore the future possibilities of AI in structural biology and its potential to transform healthcare and improve countless lives. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Raphael Townshend is the Founder and Chief Executive Officer at Atomic AI, a biotechnology company using artificial intelligence to enable the next generation of RNA drug discovery. Prior to founding Atomic AI, Raphael studied for his Ph.D. at Stanford University, where he wrote his thesis on Geometric Learning of Biomolecular Structure and taught in Stanford’s machine learning and computational biology programs. He has been recognized in Forbes 30 Under 30, and his work has been featured on the cover of Science, recognized by the Best Paper award at NeurIPS, and published in other top venues such as Nature, Cell, and ICLR. During his Ph.D. program, Raphael also held positions at DeepMind and Google on their artificial intelligence and software engineering teams and founded the inaugural workshop on machine learning and structural biology. Time Stamps: 02:53 Raphael’s background and professional journey in AI 05:36 What are structural biology and the rational design of molecules 08:02 Impact of AI on drug discovery and medical research 09:18 Molecule design for undruggable diseases with AI-guided drug discovery 13:39 Designing RNA molecules for disease treatment using ai algorithms 15:30 Collecting data for AI model training 17:44 Exploring data generation for AI-powered RNA analysis 18:56 Complementing biological and AI scientists for AI model training 20:44 Predicting 3-dimensional protein shapes using machine learning 22:58 Exploring the Pharmaceutical and biotech industry 25:53 Structuring deals for startups in the biotech industry 27:55 Building a biotech company: found raising journey 30:49 Techbio investing and business modeling 34:06 Benefits of partnering models in Biotech and AI product usability 37:53 Progress in RNA drug discovery and AI-powered research 39:04 How to get in contact with the Atomic AI team Resources: Company website: Twitter: LinkedIn: /episode/index/show/thedariusgantshow/id/27018114

Transforming Oil & Gas Industries with Technology | Mark Smith, CleanConnect.AI 06/01/2023

Transforming Oil & Gas Industries with Technology | Mark Smith, CleanConnect.AI In this episode, we speak with technology expert Mark Smith, who shares his experience with podcasting and how he became an entrepreneur. Mark discusses his background, previous success with Windows NT Magazine, and his podcast, Digital Roughnecks. He also talks about how Zoom has become the leading platform for video conversations and recounts the pivotal moment when media business owners sought his expertise to create in-house digital marketing agencies, recognizing the need for essential tools in the digital landscape. Mark reveals the genesis of his company, CleanConnect.AI, and its focus on leveraging computer vision and AI in the oil and gas industry. With a commitment to addressing industry needs, Mark's company secured a loan, formed strategic partnerships, and built a team of experts. The impact of their solutions is exemplified by successful projects, such as building sites without night operators and creating an autonomous gate guard model, enabling cost savings and operational efficiency. He also recounts transformative scenarios where CleanConnect.AI provided groundbreaking solutions, such as enabling significant cost savings and developing an autonomous gate guard model during the pandemic. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Mark Smith is the President and co-founder of CleanConnect.AI. He hosts Digital Roughnecks, a weekly video podcast focusing on the digitization of energy using AI, cleantech, and crypto. Mark Smith has 25 years of experience in technology-focused digital marketing, publishing, and software development. He previously launched Windows NT Magazine, which was viewed by 1.5M IT professionals in 160 countries. His software suite is the only government-approved AI solution that can replace human leak-detection-and-repair operators for oil & gas companies. Time Stamps: 01:59 Mark's background is from IT guy to entrepreneur and podcast host 05:30 How Mark founded his AI company in the oil and gas industry 08:47 Solving big problems with custom development solutions 10:32 Automating leak detection and repair with computer vision 15:31 Benefits of purchasing a computer vision solution for energy companies 19:16 Exploring platforms for R&D investment and scalability 20:31 Data journey for AI training in tank-level monitoring 24:00 Hiring specialty people for machine learning and computer vision projects 27:19 Integrating technology and oil & gas industry expertise 31:07 Benefits of open AI for business development 34:15 Leveraging channel partners and webinars for autonomous solutions 36:00 Partnering and raising funding for product development 39:34 Exploring investment opportunities in ai and oil & gas industries 43:03 Future of energy trading and certification 44:19 How to get in contact with the CleanConnect.AI team Resources: Company website: Facebook: LinkedIn: /episode/index/show/thedariusgantshow/id/27004389

Transforming the Fish Farming Industry with AI | Bryton Shang, Aquabyte 05/25/2023

Transforming the Fish Farming Industry with AI | Bryton Shang, Aquabyte In this episode of the podcast, we talk to Bryton Shang, an engineer, and technologist with a background in operations and financial engineering from Princeton. Bryton has been a co-founder and CTO of multiple tech startups, with his latest venture, Aquabyte, utilizing artificial intelligence to detect sick animals in fish farms. Bryton discusses the challenges facing the fish farming industry and how technology can be used to overcome them. He talks about the use of cameras and computer vision AI models to help fish farmers monitor the growth and welfare of their fish, and how this data-driven approach can lead to increased sustainable food production. We also learn about the benefits of using Aquabyte's technology system for fish farmers. This system allows farmers to measure the growth of their fish over time, make decisions on their food and treatments, and harvest them earlier for a higher price. Bryton explains how the system was approved by the FDA in Norway, eliminating the need for manual counting and handling of the fish, increasing the quality of the fish that is consumed, and making business processes more effective. Finally, Bryton touches on the global nature of the fish farming industry, highlighting its presence at a fish expo in Brussels, where every type of fish imaginable was present. Join us as we explore the exciting world of technology in fish farming and its potential to revolutionize the industry. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Bryton Shang is the founder and CEO of Aquabyte, which uses computer vision, machine learning, and AI to help aquaculture farms feed the world as cleanly and efficiently as possible by giving the industry unprecedented insight into the health, growth, and sustainability of their fish. Bryton grew Aquabyte from an idea with a prototype in his bathtub to an intelligent camera and data platform that helps the world's top fish farms understand what's happening in their pens -- uniquely identifying individual fish to track their health, growth, and environment -- without removing the fish from the water. Its technology solutions include biomass estimation, sea lice counting and non-antibiotic treatment optimization, feed optimization, welfare indicators, and more. All of this helps aquaculture farms minimize waste and maximize profit while also protecting the fish, waters, and communities that depend on them. The company now operates offices in Norway, the U.S., and Chile, and was the first technology company to be recognized for its accuracy by the Norwegian Food Safety Authority. Prior to Aquabyte, Bryton led several venture-backed startups, including as CTO of HistoWiz. At this biotechnology firm, he developed a deep learning algorithm to diagnose cancer, as well as iQ License, a brand licensing platform that he co-founded. Bryton graduated at the top of his engineering class at Princeton University and was recognized by Forbes magazine as a 30 Under 30 leader in Manufacturing & Industry. When he's not at a fish farm, you can find him in San Francisco. Time Stamps: 02:06 Bryton’s background and professional journey 05:09 Exploring the use of AI in fish farming 09:28 Benefits of fish farming and the use of technology for healthier fish 13:29 Aquabyte’s AI-native solution for fish farming + 16:43 Challenges of collecting training data for AI solutions in fish farming 20:16 Implementing AI solutions for farm growth measurement 22:42 Building a multidisciplinary team to solve computer vision problems in the marine biology industry 25:22 Recruiting for data labeling, AI, and computer vision experts 29:56 Recruiting strategies for a mission-driven startup 33:08 Challenges of growing a startup 37:18 Challenges of growing a business 40:51 How to get in contact with the Aquabyte team Resources: Company website: Facebook: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/26941713

Impact of Generative AI on Critical Needs and Tech Companies | Igor Jablokov, Pryon 05/18/2023

Impact of Generative AI on Critical Needs and Tech Companies | Igor Jablokov, Pryon In this episode of the podcast, we sit down with Igor Jablokov, an artificial intelligence expert who has had a long and varied career in the industry. We discuss the emerging technology of multimodal interfaces, which allow users to choose from different modes of input and output, and how consumer tech companies have been able to package this technology and make it accessible to the mass market. We delve into the world of entrepreneurship and the stereotypes associated with the industry. Igor talks about his experiences founding and running his own companies, including his latest venture, Pryon. He also shares his thoughts on the importance of education and foresight when looking at the industry. Throughout the episode, Igor shares his unique perspective on the intersection of art and science, drawing on his childhood in Greece and his teenage years in Philadelphia and Montreal. We discuss his role in creating voice-activated experiences, and how he was inspired to launch his latest venture, Alexa. We also touch on the importance of accuracy and security in the development of AI technology, particularly in environments like hospitals, where lives may be on the line. Finally, we explore the impact of social media on the spread of information, and the importance of accuracy in the age of Twitter. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Igor is the CEO and Founder of Pryon. Named an “Industry Luminary” by Speech Technology Magazine, he previously founded industry pioneer Yap, the world’s first high-accuracy, fully-automated cloud platform for voice recognition. After its products were deployed by dozens of enterprises, the company became Amazon’s first AI-related acquisition. The firm’s inventions then became the nucleus for follow-on products such as Alexa, Echo, and Fire TV. As a Program Director at IBM, Igor led the team that designed the precursor to Watson and developed the world’s first multimodal Web browser. As an innovator in human language technologies, he believes in fostering career and educational opportunities for others entering STEM fields. As such, he serves as a mentor in the TechStars’ Alexa Accelerator, was a Blackstone NC Entrepreneur-In-Residence (EIR), and founded a chapter of the Global Shapers, a program of the World Economic Forum. Time Stamps: 02:18 Igor's professional journey and background 04:51 Benefits of multimodal technology for end users 07:42 Intersection of art and science in voice technology 12:41 What is Pryon, what does it do? 18:38 AI-powered document analysis for enterprises 20:22 Benefits of separating duties and leveraging expertise in product development 25:23 Benefits of AI technology for enterprise and cognitive technologies for businesses 31:12 Leveraging AI technologies to achieve growth 33:23 Evolution of AI technologies and their impact on business 35:29 Discussion on generative technologies and responsibilities 38:51 Exploring the impact of generative AI on critical needs and consumer tech companies 41:37 Risks of not advancing ai technology 44:56 Generative technologies and their impact on privacy and commerce 47:27 How to get in contact with the Pryon team Resources: Company website: Instagram: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/26869851

Investment Strategies: Unveiling the Power of AI-driven Corrective Methods for Informed Decision Making | Ernest Chan, PredictNow.AI 05/11/2023

Investment Strategies: Unveiling the Power of AI-driven Corrective Methods for Informed Decision Making | Ernest Chan, PredictNow.AI In this episode, we delve into the captivating career path of Ernest Chan, the Founder, and CEO of PredictNow.AI. Despite starting with a degree in physics, Chan has made a name for himself in the world of finance and machine learning. With experience from working at IBM Research in natural language processing, machine learning, and speech recognition, to developing groundbreaking methods to compare identities without an exact match while working in an internal consulting unit at Morgan Stanley, Chan has a wealth of knowledge to share. We also explore Chan's foray into the hedge fund industry, following in the footsteps of some of his former colleagues who had become billionaires at Renaissance Technologies. After working at Credit Suisse and starting his own startup during the dot-com bubble, Chan eventually found success in the hedge fund industry once again before catching the entrepreneurial bug once more in 2005. PredictNow.AI believes that the potential of machine learning lies in its ability to correct human decisions rather than make them from scratch, hence the term Corrective AI. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Ernest Chan (Ernie) is the founder and CEO of PredictNow.AI, a machine learning SaaS. He started his career as a machine learning researcher at IBM's T.J. Watson Research Center's Human Language Technologies group, which produced some of the best-known quant fund managers. He later joined Morgan Stanley's Data Mining and Artificial Intelligence group. He is the founder and non-executive chairman of QTS Capital Management, a quantitative CPO/CTA. He obtained his Ph.D. in physics from Cornell University and his B.Sc. in physics from the University of Toronto. Time Stamps: 01:55 Ernest Chang's early career and Background 04:02 Exploring the intersection of finance and machine learning 06:33 From Morgan Stanley to starting a startup: an early work in the fintech industry 10:09 Challenges of launching a new product in an unprepared market 12:57 Becoming an independent trader and launching a fund 17:33 Using corrective AI to improve investment decisions 20:32 Benefits of AI-augmented investment decision making 23:32 Clustering AI predictive variables for improved decision making 28:07 Leveraging data to build a practical ai system 33:30 Benefits of AI-powered trading with Predictnow.AI 35:00 Benefits of conditional portfolio optimization for institutional investors and Asset managers 41:15 AI product development and raising capital for a quantitative asset management firm 44:08 What’s coming up in 2023 for PredictNow.AI 46:17 How to get in contact with the PredictNow.AI team Resources: Company website: Youtube: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/26806398

AI-Powered Customer Support Automation | Deon Nicholas, Forethought 04/27/2023

AI-Powered Customer Support Automation | Deon Nicholas, Forethought In this episode, we dive into the world of AI-powered customer support with Deon Nicholas, CEO and Co-founder of Forethought. Deon shares his journey into the field of AI and how his passion for technology led him to start his own company. He explains how Forethought's natural language processing technology is transforming the customer conversation experience by providing customers with quick and accurate answers to their questions. Deon discusses the history of natural language understanding and processing, and how it has evolved over the years. He explains how chatbots have been used for customer service but were often clunky and unsatisfactory for customers. He then shares how Forethought's approach to chatbots is different and how their innovation is providing a better experience for customers. The conversation delves into the differences between decision tree makers and AI-powered chatbots, with Deon highlighting the limitations of manual and keyword-based systems. He explains how Forethought's technology is based on language models that are built using historical customer inquiries and the actions taken by customer service agents, providing a more detailed and accurate understanding of customer inquiries. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Deon Nicholas is CEO & Co-Founder of Forethought, one of the leading generative AI platforms for customer support automation. The company has raised over 90 M in venture capital from 42 investors, including LL Cool Jay, Sean “Diddy” Combs, Gwyneth Paltrow, Ashton Kutcher, Baron Davis, Robert Downey Jr., owner of the Utah Jazz, Ryan Smith and Vlad Tenev, CEO of Robinhood. Mr. Nicholas grew up in Toronto, Canada, where as a teenager he fell in love with computers and video games. He went on to study computer science at the University of Waterloo and interned at Facebook and Palantir. He then worked at Dropbox and Pure Storage, where he developed a passion for solving technically difficult problems. He also has ML publications and infrastructure patents, was a World Finalist at the ACM International Collegiate Programming Contest, and was named to Forbes 30 under 30. Time Stamps: 02:12 Deon background and early career into AI 04:34 Evolution of natural language understanding and AI-powered chatbots 06:57 Difference between Chat GPT and Forethought AI technology 10:49 Integrating language models into customer service: challenges and solutions 13:39 Possibilities of applying transformer models to customer service data sets 15:23 Benefits of AI-powered support interactions for high growth companies 21:10 Semi-supervised learning for automated customer support 24:05 AI-powered chatbot solutions for improved customer support 27:19 Benefits of AI for businesses: Discussion on economies of scale and cost savings 30:31 Understanding the difference between AI and human-under-the-hood businesses 37:23 Benefits of combining deep ML research and product development 39:34 Investing in an AI business: building a team of engineers for AI product development 42:50 How to get in contact with the Forethought team Resources: Company website: Facebook: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/26667669

AI Automation In Fraud Detection & Retail Merchandise Planning | Gary Saarenvirta, Daisy Intelligence 04/20/2023

AI Automation In Fraud Detection & Retail Merchandise Planning | Gary Saarenvirta, Daisy Intelligence In this episode of the Darius Gantt Show, we sit with Gary Saarenvirta, the founder and CEO of Daisy Intelligence, to discuss his journey in the world of autonomous AI and the challenges and successes of building a company that revolutionizes decision making. Gary is a preeminent expert on autonomous AI, and his company has pioneered explainable decisions as a service for merchandise planning and risk management. This technology is transforming the way retailers and insurers make data-driven decisions. Gary's background in numerical methods and machine learning led him to be one of the first worldwide users of IBM's machine learning product, and he eventually left IBM to found Daisy Intelligence. Gary discusses how his company's technology is similar to how Neil Armstrong gave the computer instructions to land the lunar module, with the human setting the objective and the computer taking care of the details. He also covers the importance of control theory and system thinking when it comes to successfully leveraging AI. Gary highlights the use of control theory in the aerospace industry and explains how it is essential to wrap machine learning and predictive modeling in control theory to create stable and fault-tolerant AI systems. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Gary Saarenvirta is a Canadian engineer, scientist, speaker, and entrepreneur. Saarenvirta is best known for being the founder and CEO of the Canadian Artificial Intelligence (AI) company Daisy Intelligence. In 1992, Saarenvirta worked as an Object-oriented_programming software development consultant for three years at METEX, known for selling forth generation software development platforms. For the following five years, he was the general manager of data analysis consulting at The Loyalty Group, best known for their Air Miles program. In 2000, Saarenvirta joined IBM as the head of data mining and data warehousing practices until 2002, when he then moved on to become the chief operating officer at Adastra Corporation until 2003. In 2003, Saarenvirta began his entrepreneurship, founding Makeplain Corporation on December 22nd. In 2016, the company was rebranded, and became what is known today as Daisy Intelligence. Time Stamps: 02:22 Gary Background and origins of AI in Toronto 05:20 Benefits of AI and machine learning 09:42 Autonomous decision making in fraud detection and retail merchandise planning 13:20 Leveraging technology to support employees 16:25 Exploring the benefits of AI-driven technologies for content creation 18:55 Benefits of autonomous AI software for businesses 23:34 Danger of a data-driven approach in business and engineering systems 26:08 Optimizing retail merchandise planning decisions 27:59 Benefits of predictive modeling and change management in retail planning 30:53 Building trust through AI 33:05 Change management and AI implementation considerations 35:05 Automating data cleaning for ai development 36:44 Hiring for machine learning team in a data science company 39:07 Retaining talent in a startup scale up: strategies for success 42:30 Discussion on the safety of Chat GPT and Google ads systems 44:33 How to get in contact with the Daisy Intelligence team Resources Company website: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/26571654

AI-Powered Customer Service: Revolutionizing the Calling Experience | Alex Sambvani, Slang.AI 04/13/2023

AI-Powered Customer Service: Revolutionizing the Calling Experience | Alex Sambvani, Slang.AI Calling a business should not be a frustrating experience where you're forced to endure terrible hold music and struggle to reach a human representative. In this episode, we sit down with Alex Sambvani, CEO and Co-Founder of Slang.AI, to discuss how AI is transforming customer service. Slang.AI utilizes voice AI technology to create personalized, interactive conversations with customers, revolutionizing phone-based customer service. With a background in mechanical engineering and business, Alex has always been interested in technology and entrepreneurship. After working in finance for several years, he returned to tech and eventually landed at Spotify as a data scientist. It was there that he began working on voice technology and was inspired to start Slang AI with his co-founder, Gabe. Throughout the podcast, Alex discusses the potential of AI in customer service and the challenges businesses face in implementing it. They also explore the frustrating experience of calling businesses and how Slang AI is working to make it easier for businesses to incorporate voice technology into their customer service strategies. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Alex first became interested in technology when he learned to code at the age of 14 (self-taught). Since, he has spent his career hopping back and forth between engineering and business. He spent several years working in private equity investing and more recently worked as Senior Data Scientist at Spotify. Alex is passionate about applying artificial intelligence to challenging societal problems. He holds a B.S. in Mechanical Engineering from Stanford and an MBA from Harvard. Time Stamps: 02:17 Alex background and how It was introduced to AI 07:55 What is Slang.AI and the potential of voice technology for businesses 10:12 Transforming the experience of calling a business 13:37 Conversation flow sample for flame 15:09 Impact of Chat GPT on voice and NLP applications 19:30 AI product architecture: challenges of building an AI business 24:03 Collecting data to train AI models for a new company 28:13 Building a team with subject matter expertise for ai and machine learning 31:00 Upskilling and AI combining technical and subject matter expertise 33:10 Funding journey for Slang.AI: raising capital for a voice AI startup 40:51 Upcoming launches and fundraises for 2023 42:40 How to get in contact with the Slang.AI team Resources Company website: Instagram: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/26527335

Building and Managing High-Quality Datasets for Machine Learning | Jason Liang, SuperAnnotate 03/30/2023

Building and Managing High-Quality Datasets for Machine Learning | Jason Liang, SuperAnnotate One of the stand-out characteristics of Artificial Intelligence (AI) is its ability to learn, for better or for worse. It’s this ongoing effort that distinguishes AI from static, code-dependent software. It’s also precisely this ability that makes high-quality annotated data a crucial element in training representative, successful, and bias-free AI models. In this episode, we sit down with Jason Liang, VP of Business Development and Co-founder of SuperAnnotate. This AI lifecycle platform provides annotation services and training data for machine learning models. With over a decade of experience in finance, corporate, and tech startups, Jason brings a unique perspective to the conversation. We start by exploring Jason's background, including his experience at Lehman Brothers and his time in the tech world at SAP's mobile division. From there, we dive into the SuperAnnotate platform and how it helps companies build high-quality datasets for machine learning. Jason explains how SuperAnnotate uses professionally managed annotation teams instead of crowdsourcing to ensure high data quality. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Jason Liang is the VP of Business Development and a Co-founder of SuperAnnotate where his goal is to help every organization radically improve the way they build, manage, and leverage datasets for machine learning unlocking limitless value in their data. Jason has a decade of experience leading go-to-market activities for ML companies such as Qeexo and DataRobot. Jason also spent time at SAP, as the Executive Director for Global Solutions. Jason began his career in investment banking at Lehman Brothers. He has an MBA from UC Berkeley's Haas School of Business and a bachelor's degree from MIT. Jason is also an advisor for a number of startups and is a go-to-market advisor for Berkeley's SkyDeck incubator. Time Stamps: 00:00 Jason's background: from finance to AI startup founder 03:30 Exploring data annotation and labeling with super annotate 06:15 Leveraging professional annotation teams to streamline data labeling processes 09:50 Data engineering solutions for AI companies of all sizes 12:23 Data annotation and machine learning workflows for fortune 500 companies 13:53 Managing data for fortune 500 companies: challenges and solutions 17:11 AI development consulting services 18:16 Exploring go-to-market strategies for early-stage startups in computer vision and NLP 22:13 Leveraging software and training to outperform specialized agronomists 23:29 AI adoption and SuperAnnotate fundraising journey 26:00 Potential of generalized machine learning and AI infrastructure 29:32 Regulations and ethics in artificial intelligence deployment 31:32 Discussing data security and compliance 32:55 How to get in contact with the SuperAnnotate team Resources: Company website: Facebook: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/26390868

The Future of Website Content Creation | Andrew Palmer, Bertha AI 03/23/2023

The Future of Website Content Creation | Andrew Palmer, Bertha AI Today we sit with Andrew Palmer, founder of Bertha AI, to discuss the revolutionary tool that uses ChatGPT and OpenAI to create compelling marketing copy and images in a fraction of the time it would take to do it manually. In this conversation, Andrew talks about his entrepreneurial journey prior to Bertha AI, which includes developing a web hosting management solution for agencies, advocating for product makers, and providing plugin development support. Andrew then shares his experience with Bertha, a plugin and Chrome extension that generates text and copywriting for a variety of online platforms. Bertha was designed to help solve the pain point of content generation and gathering, which is often difficult to get from clients. Bertha was built as a writing assistant for website developers and provides prompts related to website development, such as unique services, unique sales propositions, product descriptions, and other text. But it also can be used in WordPress, Shopify, and other E-commerce, making it a versatile tool for content creation. The plugin can generate product descriptions, blog post topics, and other content. It also includes images to help with the development of websites. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Andrew Palmer is one of the co-founders of Bertha AI. He is providing WordPress users with an easy solution for content creation, maintaining a daily connection with the WordPress community and offering coaching, advocacy, and support for individuals and companies striving for excellence. Additionally, he endorses GridPane, a company offering a fantastic hosting management solution for agencies to start, manage, and provide great hosting services to their clients. Andrew is also the founder of WP Plugins Plus, a company with locations in London, UK, and Kolkata. WP Plugins Plus specializes in making plugins, providing support for various agencies, and offering guided website design and build services. Time Stamps: 02:33 Background of Bertha: from vendor marketplace to AI-powered writing tool 05:55 AI-powered content generation for clients 07:25 Benefits of Bertha: a WordPress plugin for writing assistance 11:27 Approaching to build Bertha: a conversation on AI-powered content creation 13:28 AI development and mitigating risk with open-source solutions 15:26 Benefits of AI-powered chatbot development 19:21 Benefits of prompt engineering for ai applications 23:19 The core skills of a prompt engineer 27:26 Mechanics of large language models with OpenAI 29:27 Bertha AI ability to ask relevant questions. 33:13 Benefits of chat GPT and Bertha for code development 35:06 The impact of generative AI on open source and privacy rights 38:57 Strategies for creating value for monetizing. 40:44 Using Bertha AI for increasing productivity and profitability 43:10 How to get in contact with the Bertha.AI team Resources Company website: Facebook: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/26315370

Using AI to Produce Healthier and More Sustainable Food Options | Jason Bull, Benson Hill 03/16/2023

Using AI to Produce Healthier and More Sustainable Food Options | Jason Bull, Benson Hill Historically, breeding has been a blend of science and chance – a lengthy, expensive process where outcomes often come with tradeoffs. As one plant characteristic such as yield is optimized, another such as protein content is compromised. CropOS changes this by enabling greater control and precision, this means reduced costs and greater accessibility. In this episode of the podcast, we sit down with Jason Bull, the Chief Technology Officer of Benson Hill, to discuss the company's focus on producing healthier and more sustainable food options with the help of its Crop OS platform. With over 20 years of experience at Monsanto, Jason is now bringing his expertise to Benson Hill, where he leads the company's R&D, data science, predictive breeding, genomics, product discovery, big data engineering, and software development. Jason shares his experience in transitioning from traditional breeding to molecular assisted breeding and then to predictive breeding. He talks about how he put in place the underlying systems to run research and development, and how he began working with predictive technologies, eventually leading to the integration of AI at Monsanto. The conversation delves into the executive decision to use artificial intelligence to predict future outcomes, and how Jason had to prove the worth of AI to the business owners. Jason addresses the internal concerns around job security and how the team overcame these challenges by having food scientists, data scientists, and plant scientists all work together. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Jason Bull is the Chief Technology Officer of Benson Hill. In his role as CTO, Jason leads the company’s combined R&D and Data Science capabilities across predictive breeding, genomics, product discovery, big data engineering and software development. Bull has over 20 years of industry experience unlocking synergies between biology and data science for multiple industries. Bull spent twenty years with Bayer (Monsanto) and then Climate Corporation, most recently as its Global VP R&D of Digital Seed Science, where he delivered a digital advisory platform. Jason has been granted 30 patents in digital agriculture, molecular breeding and robotic seed chipping. He has also authored 15 publications on the optimization of breeding and production systems. He earned his Ph.D. in Quantitative Genetics and Biometrics and a BA in AgSci (Honors) in Quantitative Genetics and Analytics from the University of Queensland in Australia. 01:49 Jason Bull background: AI in Monsanto's Seed Development Process 05:32 Artificial intelligence to increase success in product development 06:45 Benefits of cross-functional teams for AI Implementation 12:14 Jason experience with machine learning at object computing OCI 16:39 Exploring a new opportunity in biotech genetics and food science 18:56 Benson Hill AI-Inspired platform and products 24:02 Jason's role in accelerating Benson Hill expansion 27:44 Scaling the organization with ai and machine learning talent 30:07 Recruiting talent for AI and machine learning at Benson Hill 32:08 Benefits of across functional team and SWAT teams for AI delivery 36:32 Discussion on Crop OS and organizational decisions at Benson Hill 39:05 What’s next for Benson Hill AI development 41:07 Combining Impact, Cost, and AI to Create Innovative Products 43:20 How to get in contact with the Benson Hill team Resources Company website: FaceBook: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/26215164

Building a Smarter Workflow: The Rise of AI-Enabled Task Automation | Pascal Weinberger, Bardeen AI 03/09/2023

Building a Smarter Workflow: The Rise of AI-Enabled Task Automation | Pascal Weinberger, Bardeen AI Today we sit down with Pascal, the founder, and CEO of Bardeen AI, a leading workflow automation company. Pascal shares his journey in the AI and machine learning field, and how his experience of spending too much time on repetitive tasks led to the creation of Bardeen, a platform designed to automate micro functions for users. They discuss how Bardeen integrates AI into its platform to understand user needs and recommend the right automation for the right user in the right context. He shares everyday use cases for Bardeen, such as market research, outreach, and recruiting, and how it is integrated with popular tools like Notion, AirTable, and Google Sheets. Bardeen automates manual work so that people can focus on what they love. It also allows you to trigger and participate in automation right from where you are. This idea of contextual, proactive automation unlocks the potential of automating tasks that previously only large companies with big budgets could and now takes just a few minutes to set up. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Pascal started his career at the intersection of ML and neuroscience, trying to learn how to learn the brain. He then went on to work with Google Brain on various ML projects, and then founded and successfully exited an AI company in the AgTech space. After his exit, he helped co-found an NGO and then went on to start and lead Telefonica's Moonshot Factory's AI team. In 2019 he joined Augustus Intelligence to build the tools and platform to enable real scale for AI and ML use-cases in the enterprise. He is currently based in NYC and is also actively investing and advising various AI companies as a Venture Partner at AI Capital and personally. 01:58 Pascal Weinberger's background, from recruiting to automation tools to BAE 04:59 Pain point of repetitive tasks 06:46 Automating repetitive tasks with workflow automation 10:44 exploring the journey of building an ai model 14:30 Benefits of solving problems without ai before training a model 17:18 Shift from model-first to business value-first ai solutions 19:57 Abstraction layer for automating automation 22:04 Hiring for a tech company: challenges and strategies 25:54 Discussion on the engineering hiring market in 2021 28:22 Go-to-market strategies for automation platforms 32:37 Benefits of automation with Bardeen 36:06 ROI metrics for ai automation solutions 38:11 AI company raises series funding to automate end-user workflows 41:23 How to get in contact with the Bardeen team Resources: Company website: YouTube: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/26179245

An AI-Driven Approach to Managing an Explosion of Data Alongside Data Privacy Concerns | Abhi Sharma, Relyance AI 02/27/2023

An AI-Driven Approach to Managing an Explosion of Data Alongside Data Privacy Concerns | Abhi Sharma, Relyance AI As software development accelerates, it's becoming increasingly challenging for legal, security, and IT teams to track personal data flows. Manual workflows like forms and meetings can leave them in the dark, putting user and customer trust at risk. That's where Relyance AI comes in. Their machine learning technology builds a dynamic, real-time data inventory and map to monitor how personal data moves through code, applications, infrastructure, and third-party vendors. On this episode, we're joined by Abhi Sharma, Co-Founder & Co-CEO of Relyance AI, a company that leverages machine learning to track personal data flows in real-time. Abhi is a tech entrepreneur and machine learning expert with a passion for driving change and innovation in the industry. He shares his background and experience building and marketing products involving compilers, large-scale data processing, machine learning, and observability tools. Abhi also explains how he applied metamodeling and machine learning to tackle the problems at the intersection of different domains, leading to the creation of Relyance AI. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Abhi is a 2X tech entrepreneur and machine learning expert. He spent most of his career building tech and go-to-market for products involving compilers, real-time/large-scale data processing, machine learning, and observability tools for continuous visibility into data flows. Given his work in compilers, Abhi became obsessed with simplifying the expressibility of data-processing intent while automatically synthesizing data types, computation intent, call graphs, and data flows in applications and machine learning models. In 2019, he started advising first-time founders on product/go-to-market and was a technologist-in-residence in venture capital. During this time, he was actively exploring how extreme domain specializations in various industries could slow down the speed of innovation, cross-pollination of ideas, and thus human progress overall. Show Notes: 02:26 Applications and entrepreneurship background 05:25 Different applications of machine learning on previous startups 07:11 How Relyance founded a solution to a privacy problem 09:23 Exploring the challenges of privacy and data governance 11:25 Addressing the challenges of data privacy compliance 15:35 Regulatory penalties faced by tech companies 17:53 Discussion on the growing importance of data privacy regulation 21:01 Privacy regulatory enforcement and Relyance solution to assist customers 24:34 Challenges of building a privacy program 29:32 Benefits of machine learning for data protection compliance 32:46 Leveraging public data and machine learning to provide timely value 36:01 Relyance AI foundational modes and defensibility strategies 41:04 Attracting top talent in AI/ML and hiring for data science and machine learning projects 46:57 How to get in contact with the Relyance team Resources: Company website: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/26053017

Voice Moderation: Fighting Toxic Online Behavior with AI | Mike Pappas, Modulate. 02/23/2023

Voice Moderation: Fighting Toxic Online Behavior with AI | Mike Pappas, Modulate. Many game studios and developers are aware of the toxicity and harassment happening in their games and have put what’s known as “reactive moderation” measures in place as a response. Built on advanced machine learning technology and designed with player safety and privacy in mind, ToxMod triages voice chat to flag bad behavior, analyzes the nuances of each conversation to determine toxicity, and enables moderators to respond quickly to each incident by supplying relevant and accurate context. In this episode, we sit with Mike Pappas, CEO/Co-founder of Modulate. Mike shares his journey from studying physics and applied mathematics in college to working in the hedge fund industry, before eventually co-founding Modulate. He discusses the importance of math in the development of artificial intelligence and the unique experience he had during his interview with Bridgewater Associates, emphasizing the significance of openness and transparency in the hiring process. Throughout the conversation, Darius and Mike dive into the potential risks and benefits of AI, its impact on various industries, and the importance of culture and diversity in the tech industry. They also touch on Mike's passions for group dynamics and video games, providing a unique perspective on the intersection of technology and human experience. If your company is looking to scale its AI initiatives, head over to Tesoro AI (). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Mike Pappas is the CEO/Co-founder of Modulate, which uses machine learning to help make online voice chat safe, inclusive, and more immersive. Mike’s work at Modulate ranges from developing new partnerships within the industry, monitoring trends and new opportunities for Modulate’s unique technology to have a positive impact, and reinforcing an internal and external culture of passion, respect, and personal growth. Mike graduated from MIT with a BS in Physics and Applied Mathematics in 2014. Before Modulate, Mike spent time at Bridgewater Associates working on cloud technology until joining Lola Travel as an early employee to learn more about building a startup from an experienced entrepreneur (CEO Paul English, who co-founded Kayak.com.) Outside of work, his passions include philosophizing about group cultures and dynamics, video games, and creating experimental cocktails. Show Notes: 02:00 Mike Pappas background and career paths 04:12 Role of applied mathematics in AI development 05:37 The importance of math in ai startups 09:03 Possibilities of real-time voice changing in online games 14:07 Exploring voice moderation solutions for gaming platforms 18:55 Discussion on go-to-market strategies 21:33 Understanding the complexities of selling to businesses 24:02 Benefits of AI-powered voice moderation for game studios 28:17 The challenges of building an ML team 30:26 Exploring the value of AI in moderating online platforms 34:22 Transformative potential of AI-powered voice chat moderation 36:42 Analysis of speech attacks and moderation of online games 42:16 Modulate early hiring and funding journey 44:32 Challenges of raising funding for an AI SaaS company 48:00 How to get in contact with the Modulate team Resources: Company website: LinkedIn: Twitter: /episode/index/show/thedariusgantshow/id/26015112

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