The Tesoro AI Podcast
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.
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The Future of QA: How AI Agents are Changing Software Testing | Daniel Loreto, Jetify
03/19/2025
The Future of QA: How AI Agents are Changing Software Testing | Daniel Loreto, Jetify
In this episode of the Tesoro AI podcast, host Darius Gant interviews Daniel, a seasoned technologist with experience at top tech companies like Google, Twitter, and Airbnb. They delve into Daniel's early career and the launch of his startup, Jetify, which aims to accelerate the software development lifecycle. The conversation explores the evolution of AI from its early days to the impact of large language models (LLMs) like ChatGPT. Daniel introduces Jetify’s flagship product, TestPilot, an AI agent designed to automate QA testing by simulating human interactions with web applications. He discusses the challenges of QA, the benefits of AI-driven automation, and the future potential of AI agents in various domains. The episode provides insights into the complexities and advantages of integrating AI in software development, emphasizing how specialized solutions like TestPilot can enhance efficiency and reliability. 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: Daniel Loreto is an experienced technology leader and entrepreneur with a proven track record of driving innovation and growth within the software industry. As the Founder of Jetify, Daniel is responsible for setting the strategic vision and leading the execution of the company's ambitious growth plans. He oversees all aspects of the business, from product development and engineering to go-to-market strategy and operations. Under his leadership, Jetify has rapidly gained traction in the market, delivering cutting-edge technology that empowers its customers to thrive in the digital age. Prior to founding Jetify, Daniel served as the Founder of jetpack.io, a successful tech startup that specialized in cloud infrastructure solutions. Before that, he held senior engineering and leadership roles at prominent tech companies, including Vice President of Engineering at Virta Health and Head of Engineering, Airbnb Luxe at Airbnb. Throughout his career, Daniel has demonstrated a keen ability to identify market opportunities, assemble high-performing teams, and deliver innovative products that drive measurable business impact. Time Stamps: 00:35 Daniel's Impressive Tech Background 04:06 The Birth of Jetify: From Idea to Execution 07:24 AI-Powered QA Testing 11:12 Challenges and Future of AI in QA 16:12 Difference between traditional QA and Test Pilot 20:29 Building vs. Buying AI Solutions for QA 22:47 Challenges of Building Your Own Testing Infrastructure 23:51 The Potential of AI Agents in Testing 28:00 Ensuring AI Agents Perform Effectively 33:41 The Future of AI in Software Development 39:03 Thoughts on Test pilot in the market 40:58 TestPilot's Vision for 2025 and Beyond Resources Follow Darius Gant LinkedIn - Company Website - Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n Subscribe on Apple Podcast: Company website: https://www.jetify.com/ LinkedIn: X :
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Tackling AI Deployment Risk Through Ethical and Effective AI Use | George Chamoun, Fairo AI
03/06/2025
Tackling AI Deployment Risk Through Ethical and Effective AI Use | George Chamoun, Fairo AI
In this episode of the Tesoro AI podcast, host Darius Gant speaks with George, the founder of Fairos, about the rapidly evolving landscape of artificial intelligence. George shares insights into his background, transitioning from big data and data science to founding an AI-focused startup. The discussion delves into the significant gap between AI investment and realized value, highlighting the importance of AI skills and governance in bridging this gap. George explains how Fairo helps organizations manage AI risks by offering solutions such as bias detection and governance frameworks. The conversation also touches on AI agent technology, industry-specific challenges in AI adoption, and the importance of combining practical experience with AI expertise. Finally, George outlines Fairo’s future plans to launch a new SaaS offering aimed at empowering AI product managers across various industries. 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: George Chamoun is the Founder & CEO @ Fairo where he helps organizations automate AI GRC (that's Governance, Risk and Compliance) , build ethical systems, and see returns on AI investments. Prior to founding Fairo, he worked as a statistician, data scientist, and technology executive. George loves finding unique solutions to complex problems and collaborating with others. Time Stamps: 00:24 George's Journey into AI 02:06 The AI Investment Gap: Challenges and Solutions 04:57 Risks and Reputational Concerns of AI in Social Media 12:11 Fairo Platform- Addressing AI Risks and Bias 16:19 Vendor Management and Compliance in AI 22:43 Engagement with Fairo User Experience 24:25 The Future of AI Agents and Governance 26:20 Exploring AI Agents and System Vulnerabilities 29:22 AI Governance and Industry Adoption 30:37 Insurance and Healthcare Regulations 33:07 Building Risk and Compliance Solutions 38:00 The Value of Professional Services in AI 43:15 Talent Acquisition and Training in AI 50:10 Future Plans and Closing Remarks Resources Follow Darius Gant LinkedIn - Company Website - Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n Subscribe on Apple Podcast: Company website: LinkedIn:
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Decoding AI Decisions: The Importance of Interpretability in AI Models | Dmitry Lesnik, Stratyfy
02/25/2025
Decoding AI Decisions: The Importance of Interpretability in AI Models | Dmitry Lesnik, Stratyfy
In this episode of the Tesoro AI podcast, host Darius Gant welcomes Dmitri Lesnik, Co-founder of Stratyfy, to discuss the evolving landscape of artificial intelligence. Dmitry delves into his background in physics and AI, having developed influential algorithms since his PhD studies in Germany. He highlights Stratyfy's focus on probabilistic logic and interpretable AI, emphasizing their applications in fraud detection, lending, and healthcare. The conversation also explores the broader implications of AI, including the importance of transparency, the risks of biased and fraudulent activities, and the potential future of AI reaching artificial general intelligence (AGI). Dmitry stresses the need for businesses to adopt cutting-edge AI technologies while remaining conscious of their risks and ethical considerations. 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: Dmitry Lesnik, Stratyfy Co-Founder and Chief Data Scientist. Dmitry began working on Stratyfy’s core technology over 10 years ago while working as quantitative analyst, experiencing the inefficiencies and headaches of working with traditional financial modeling techniques. He spent 12 years developing pricing models, hedging strategies, and risk assessment models for trading desks. Here, Dmitry gained significant experience in software development projects—from concept to integration in the firm’s trading systems. He has a deep understanding of financial business concepts, including portfolio management, risk management, pricing theory, and financial markets dynamics. He has obtained a Ph.D. in theoretical physics in Germany. He studied cognitive science and worked on research projects in the interdisciplinary areas of machine learning, mathematical logic and neurophysiology. Dmitry developed algorithms for boosting the performance of rules-based classifiers. After leaving academia, Dmitry worked in Research at Philips Ltd., which was a combination of deep theoretical research and hands-on practical experience. Time Stamps: 00:36 Dmitry's Background in AI 02:00 The Evolution of AI Algorithms 04:54 Interpretable Algorithms and Their Importance 07:53 Addressing Bias with AI 10:13 Addressing Fraud with AI 14:50 The Role of AI in Business Growth 20:04 The Future of AI Agents and Ethical Considerations 24:52 Understanding AGI and Its Implications 30:11 Stratyfy's Approach to AI Solutions 35:01 Risks and Responsibilities in AI Development 39:50 Conclusion and Future Outlook Resources: Follow Darius Gant: LinkedIn - Company Website - Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n Subscribe on Apple Podcast: Company website: LinkedIn:
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The Intersection of AI and Physics in Advanced Manufacturing | Robin Toluie, PhysicsX
01/30/2025
The Intersection of AI and Physics in Advanced Manufacturing | Robin Toluie, PhysicsX
In this episode of the Tesoro AI podcast, we sit with Robin Toluie, a key figure behind PhysicsX, a company leveraging AI and machine learning to accelerate simulation and design processes across various advanced industries. They delve into Robin's extensive background in both theoretical physics and high-stakes automotive engineering with leading companies like Mercedes AMG and Bentley Motors. They discuss the application of machine learning in optimizing vehicle designs, reducing costs through virtual simulations, and its broader implications beyond automotive—applying to aerospace, renewables, and medical fields. Robin highlights PhysicsX’s innovative use of large physics models and deep learning to replace traditional numerical simulations, driving faster and more efficient product development. They also explore the potential and limitations of AI-generated simulations, the role of agents in automating engineering workflows, and the exciting developments upcoming in the field, including the release of Airplane 2.0. 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: Robin Tuluie is the founder and vice chairman of PhysicsX, pioneering deep learning and simulation solutions for breakthrough engineering. A theoretical physicist, Robin discovered a new effect in cosmic background radiation, later confirmed by the Nobel-winning COBE satellite. Transitioning to Formula One, he led R&D at Renault (Alpine) F1, securing back-to-back championships, then at Mercedes F1, helping build one of the sport’s most dominant teams. After further success at Bentley Motors, Ducati MotoGP, and Volkswagen Group, he founded PhysicsX in 2019 to revolutionize engineering with AI-driven simulation, tackling climate and industrial challenges. Time Stamps: 00:33 Robin's Journey and Background 06:15 Transition to Physics X 09:42 Challenges in Generative AI and Physics 12:29 Talent and Team at Physics X 14:17 Comparison Between Simulations 19:53 Trust and Validation in AI Models 22:24 Understanding Large Physics Models 24:20 Introducing AI.Rplane: AI-Powered Design Tool 26:04 Future of AI Agents in Engineering 31:58 Applications in Manufacturing and Operations 35:51 3D Printing and Design Optimization 37:16 User Experience and Team Structure 40:17 Global Team and Future Prospects 45:24 Conclusion and Future Releases Resources Follow Darius Gant LinkedIn: Company Website: Subscribe on Spotify: Subscribe on Apple Podcast: Company website: LinkedIn: Twitter (X): Instagram:
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The Role of AI in Modernizing Data Centers and IT Ops | Christina Kosmowski, LogicMonitor
01/09/2025
The Role of AI in Modernizing Data Centers and IT Ops | Christina Kosmowski, LogicMonitor
In this episode of the Tesoro AI podcast, we sit with Christina Kosmowski, LogicMonitor CEO. Christina shares her extensive experience and insights into the intersection of AI, data centers, and digital transformation. She discusses her career journey from leadership roles at Salesforce, Slack, and now Logic Monitor, highlighting the significant inflection points in cloud computing and AI advancement she witnessed. She delves into the importance of data centers in the AI ecosystem, the role of Logic Monitor in optimizing data center performance, and the challenges and strategies around cost, performance, and sustainability. Christina also touches on the transformative power of AI agents, the importance of customer-centric innovation, and Logic Monitor's future plans, including their recent $800 million funding round. The episode offers a comprehensive look at how AI and data centers are reshaping the digital landscape and the strategic role of IT operations in this evolution. 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: As CEO of LogicMonitor, Christina is responsible for accelerating the company’s hypergrowth and delivering on its brand promise of helping C-level executives and their teams thrive through transformation. Prior to assuming the role of CEO, Christina served as LogicMonitor’s President, leading go-to-market strategy, R&D, customer success and operations. She has spent over two decades holding leadership positions in the enterprise software space and is passionate about discovering new ways to bring the worlds of technology and business together. Christina came to LogicMonitor from Slack, where she spent four years building and leading Customer Success and Enterprise GTM Teams. Christina also spent 15 years at Salesforce, where she oversaw functions including renewals, consulting, support and customer success. In both of these roles, she helped guide her respective organizations through pivots, disruptions and rapid periods of growth, while also being a pioneer of the Customer Success practice. Outside of LogicMonitor, Christina serves on the board of Rapid7 (NASDAQ: RPD) and is a founding partner of Operator Collective, an organization that brings together tech’s most sought-after operators, investors, and founders from diverse backgrounds to invest in and accelerate the next generation of b2b tech. Time Stamps: 00:37 Christina's Career Journey 04:10 The Role of Data Centers in AI 07:53 Logic Monitor's Value Proposition 10:50 Challenges and Solutions in Data Centers 15:12 AI Integration and Future Prospects 21:22 Logic Monitor's Integration and AI Capabilities 25:24 Transforming IT Operations with LogicMonitor's 27:35 Customer-Centric Innovations 30:18 Early Stages of AI Integration 33:41 Upskilling in the Age of AI 36:39 Managing AI Agents 40:37 Focusing on Core AI Use Cases 43:34 Customer Feedback and Community Engagement 45:33 Exciting Announcements and Future Plans Resources Follow Darius Gant LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ Company Website - www.tesoroai.com Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n Subscribe on Apple Podcast: https://podcasts.apple.com/ae/podcast/the-darius-gant-show/id1527996104 Company website: https://www.logicmonitor.com/ LinkedIn: https://www.linkedin.com/company/logicmonitor/ Twitter (X): https://x.com/LogicMonitor
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Transforming Data Analytics with AI-Powered Solutions | Sarah Nagy, Seek AI
12/19/2024
Transforming Data Analytics with AI-Powered Solutions | Sarah Nagy, Seek AI
In this episode of the Tesoro AI podcast, host Darius Gant interviews Sarah Nagy, founder of Seek. They discuss Sarah's journey from astrophysics and finance to founding an AI-driven data analytics startup. Sarah explains Seek's mission to simplify data accessibility and analysis using large language models (LLMs). With her extensive background in quantitative finance and data science, Sarah sheds light on the nuances of alternative data, the challenges of dealing with unstructured data, and the importance of a robust data engineering team. The conversation also covers the evolution of AI agents, the critical role of data documentation, and Seek's flat fee business model. Sarah shares insights on effective data management practices and the significance of UI/UX in developing AI products. The episode concludes with Sarah's thoughts on the future of AI and an announcement about Seek's participation in the NRF conference. 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: Sarah Nagy is a former quant who currently serves as Founder & CEO of Seek AI, a leading startup that provides organizations with a natural language interface for data, empowering anyone in a business to ask questions and receive data-driven insights fast. Sarah most recently led the consumer data team at Citadel's Ashler Capital. Prior to joining Citadel, Sarah led enterprise data product development at two startups, Edison and Predata, which both exited. Sarah started her career as a quant at ITG developing algorithmic trading strategies. Sarah has a Master in Finance degree from Princeton and dual Bachelor's degrees in Astrophysics and Business Economics from UCLA. Time Stamps: 00:34 Sarah's Background in Finance and Astrophysics 03:12 Identifying Pain Points in Data Science 05:11 Founding Seq and Leveraging AI 08:45 Current State of Seq's Product 09:45 Data Governance and Access Control 13:16 Use Cases in Consumer Packaged Goods 15:43 Best Practices for Data Readiness 20:59 Importance of Prompt Engineering 24:31 Choosing the Best Business Model for Seek 27:43 Identifying Typical Users of Seek 29:08 Differentiating Seek from ChatGPT 31:58 Building vs. Buying AI Solutions 38:53 Conversations with Investors 41:37 Future of AI and Generative AI 44:21 Upcoming Events and Final Thoughts Resources Company website: LinkedIn: Twitter:
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The Future of Sleep Diagnostics with AI | Chris Fernandez, Ensodata
12/12/2024
The Future of Sleep Diagnostics with AI | Chris Fernandez, Ensodata
In this episode of the Tesoro AI podcast, host Darius Gant talks with Chris from Enso Data about how artificial intelligence is transforming sleep medicine. Chris delves into his career journey from engineering to healthcare, the founding of Enso Data, and how the startup uses AI to improve diagnosis and treatment of sleep apnea. They discuss the evolution of Enso Data's technology, from its early days at the University of Wisconsin to its current impact on the sleep care pathway. Chris also highlights the challenges and benefits of integrating AI into healthcare, the importance of data security, and the future of sleep diagnostics. The episode concludes with insights into the company's growth, funding journey, and an invitation for new talent to join their mission. 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: Chris Fernandez is the co-founder and Chief Research Officer of EnsoData, a medical software company pioneering the field of Waveform AI. EnsoData’s first product, EnsoSleep, is an FDA-cleared SaaS that aids in the diagnosis of sleep apnea for both in-lab and at-home tests. Cleared in 2024, EnsoSleep PPG expands the same diagnostic capabilities to FDA cleared pulse oximeters. Under the combined leadership of Fernandez and co-founders Sam Rusk and Nick Glattard, EnsoData has grown to more than 50 full time employees, raised over $30,000,000 in venture capital funding from top VCs, obtained one of the first FDA clearances of AI/ML software in all of healthcare, and collaborated to release more than 30 AI research publications to push the science of sleep forward. Chris Fernandez’s work has earned him and EnsoData various recognitions, including being named to the 2021 Forbes 30 Under 30 in Healthcare list, the Inc. Best Places to Work list for the third year in a row (one of only three Wisconsin companies to make the list in 2023), the Wisconsin Innovation Award in Healthcare, and the InBusiness 40 Under 40 list, among other acknowledgment Time Stamps: 00:33 Chris's Career Journey and Enso Data's Origin 06:10 Transforming Sleep Care with AI 11:26 Understanding How Esodata Works with Data 14:24 Challenges and ROI in AI for Sleep Diagnostics 17:06 Future of AI in Sleep Diagnostics and Broader Implications 21:00 EnsoData's Impact on Sleep Apnea 25:58 EnsoData's Interface for Clinicians 28:02 Data Privacy and Security in Healthcare 30:58 Building and Training AI Models 34:00 Choosing the Right AI Team 35:36 Challenges in AI Development 37:36 Probabilistic Outcomes and Improving Accuracy 39:47 Fundraising Journey and Market Shifts 43:11 Future of Sleep Apnea Treatment and EnsoData's Vision Resources Company website: LinkedIn: Facebook: Twitter:
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Automating Software Application Development with AI | Zvonimir Sabljic, Pythagora
12/05/2024
Automating Software Application Development with AI | Zvonimir Sabljic, Pythagora
In this episode of the Tesoro AI podcast, host Darius Gant interviews Zvonimir Sabljic 'Z', the founder of Pythagora, an AI-based tool that automates coding tasks and helps build applications from scratch. Z discusses his career journey, starting with a collaborative whiteboard startup that was eventually acquired by Miro. The conversation then shifts to Pythagora, the motivations behind focusing on AI, and how the technology evolved from generating HTML/CSS to creating entire applications from user specifications. The episode also covers the transition from traditional coding to AI-driven solutions, the benefits of such innovations, and insights from Z's experience with Y Combinator. Z highlights how Pythagora is cutting down on development time significantly and empowering individuals and companies to innovate rapidly without extensive coding knowledge. 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: Zvonimir is an engineer and technology entrepreneur with a Master's degree from the Faculty of Electrical Engineering and Computing (FER). He founded AWW (A Web Whiteboard), which became a significant player in the online whiteboard market. Under his leadership, AWW grew to serve 1.5 million monthly active users, with Apple being its largest customer. In 2021, AWW was acquired by Miro (formerly known as Realtimeboard). He is continuously exploring new opportunities to bring cutting-edge solutions to market and is currently focused on building Pythagora. Time Stamps: 00:36 Zvonimir Introduction and Early Ventures 05:40 Pythagora: From Concept to Product 10:32 Test-Driven Development and Pythagora's Evolution 14:45 ROI and Business Impact of Pythagora 17:21 Critical decisions to Discuss with a Company 19:19 AI in Code Generation and Future Prospects 23:49 Pythagoras’s Automated Documentation 25:17 AI vs. Human Coders: A Comparative Analysis 29:53 The Role of AI in Enhancing Creativity 33:38 Pythagora's Feedback Loop for Code Development 35:48 Market Strategy and Adoption 40:48 The Impact of YC on Pythagora 43:02 Fundraising Experiences and Investor Insights 46:16 The Future of AI and Pythagora's Vision 48:06 whats coming new for Pythagora in 2025 Resources Company website: LinkedIn: YouTube: Twitter: Follow Darius Gant LinkedIn - Company Website -
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Harnessing AI to Revolutionize Code Review | Hunter Brooks, Ellipsis
11/21/2024
Harnessing AI to Revolutionize Code Review | Hunter Brooks, Ellipsis
In this episode of the Tesoro AI podcast, we speak with Hunter Brooks, co-founder and CEO of Ellipsis. We discuss Hunter's journey from a self-taught developer with a background in astrophysics to creating an AI-driven code review tool. Hunter elaborates on his professional experiences at companies like Capital One and Amazon, where he gained exposure to machine learning and AI. We delve into the capabilities of Ellipsis, how it revolutionizes the code review process by leveraging state-of-the-art large language models (LLMs) to ensure code quality and efficiency. Hunter shares insights into the transition from traditional coding methods to AI-assisted development, emphasizing the importance of integrating AI to improve productivity without replacing human oversight. The discussion also covers the challenges and advantages of launching an AI startup, including valuable advice from their experience with Y Combinator and the role of VC funding in the crowded AI DevTools space. The episode provides a comprehensive look at how AI can optimize software development, the future of coding, and practical steps for teams and individuals to adopt these advanced tools. 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: Hunter Brooks is a versatile professional who transitioned from astrophysics to software engineering. Before co-founding Ellipsis, he gained experience at Amazon Web Services (AWS), where he honed his technical expertise. He also contributed to the field of cosmology through research and publications. Time Stamps: 00:33 Hunter's Background and Career Journey 04:03 Early Challenges with AI and Code Generation 05:26 The State of AI in Code Writing 09:06 Introduction to Ellipsis 12:01 How Ellipsis Enhances Code Review 15:46 Team Code Review Process 19:34 Personalization and Efficiency in Code Review 24:04 Starting an AI Platform as a Startup 26:12 What Ellipsis Does to Go Beyond Basic Code Review 28:19 Empowering Developers with Advanced Tools 29:52 Getting Started with Ellipsis 31:30 Addressing Security Concerns 34:12 Building a Technical Team 38:38 Fundraising in the AI Space 43:07 Future Developments and Features Resources Company website: https://www.ellipsis.dev/ LinkedIn: Twitter: https://twitter.com/ellipsis_dev
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Balancing Privacy and Precision in AI | Steven Atneosen, TomtA AI
11/14/2024
Balancing Privacy and Precision in AI | Steven Atneosen, TomtA AI
In this episode of the Tesoro AI podcast, host Darius Gant converses with Steven Atneosen , a seasoned serial entrepreneur and executive with a diverse background in law, corporate strategy, and technology. Steven shares his career trajectory from a fascination with automobiles to the legal profession, and eventually into the world of AI and tech startups. He recounts his roles in various companies, including carparts.com, aristocrat, Axiom, and finally Tomta. The discussion delves into the importance of data privacy in AI development, the challenges of using sensitive data, and Tomta's innovative solutions for creating hyper-accurate yet anonymized datasets. This conversation sheds light on the critical intersection of technology, data privacy, and the future of AI, emphasizing the need for robust and ethical data management practices. 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: Steven Atneosen has a Bachelor of Science (BS) degree in Accounting and Finance from Drake University. Additionally, they hold a Doctor of Law (JD) degree from Mitchell Hamline School of Law, with a focus on Entrepreneurship/Entrepreneurial Studies, Business, Litigation, and Appellate. Steven is also certified as an Attorney by the Minnesota State Bar Association. Steven has a diverse work experience spanning over a decade. Steven is currently the CEO and Co-founder of tomtA, where they focus on creating ML solutions for organizational missions by allowing the safe sharing and use of anonymized real data. Before tomtA, Steven founded Grand Chasm Ventures in 2018 and served as the Managing Director. Steven also worked as an Advisor for ElectricFish and NIO, where they held the role of Advisor to XPT before becoming the Vice President of Corporate Development for the same division. At NIO, they played a key role in attracting funding, building product roadmaps, and securing acquisitions for electric, connected, and autonomous vehicles. Steven has also been an Investor and Advisor for Deepen AI, an Advisor and interim COO for Wireline.io, and the SVP of Corporate Development, General Counsel, and Chief Privacy Officer for StayWell Health Management. Furthermore, they co-founded and served as the CEO of DebateHall.com and worked as the Vice President of Operations for RxVantage. Steven was responsible for developing growth strategies and improving product adoption in these roles. Time Stamps: 00:36 Steven Background From Law to Entrepreneurship 05:08 Transition to Business Development 09:36 Venturing into Healthcare and Ad Tech 13:14 Founding a Venture Capital Firm 16:12 Challenges in AI 19:27 The importance of Data and Privacy 23:02 What problem is Tomta solving 25:32 Understanding Attribute Risk 29:20 Who is more concerned about Data and privacy 33:02 Engaging with Tomta AI 37:20 Future of Data Privacy and AI 45:54 Synthetic Equivalent Data and Its Benefits Resources Company website: LinkedIn: Twitter:
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Redefining Interaction and Control with AI Twins | Marcus Lampinen, Prfina
11/07/2024
Redefining Interaction and Control with AI Twins | Marcus Lampinen, Prfina
In this episode, we sit with Marcus Lampinen, the founder of Prifina. Marcus discusses how AI is revolutionizing the way individuals can manage and control their personal and professional data. We then delve into Marcus's background and how his passion for data led to the creation of Prifina, a user-controlled data company aimed at ensuring AI serves individuals' interests. The conversation covers the practical applications of AI in various fields such as athletics, education, and content creation, highlighting how easy-to-use consumer-grade tools provided by Prifina allow users to create their own AI twin. Marcus explains the technicalities behind training these AI models and assures that data control remains with the user, leading to more engaging and personalized interactions. They also explore innovative business models and future possibilities where AI can significantly augment human expertise and save time on mundane tasks. 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: Markus Lampinen is a serial entrepreneur and early stage investor. Markus is specialized on data and applied AI, currently the CEO of Prifina focused on empowering the consumer market with AI that both represents them publicly and helps them privately. He is also involved in several innovative startups in fintech, data, machine learning and transparent AI. Time Stamps: 00:36 Marcus Background and Personal Insights 03:55 The Concept of Prifina 08:04 User Engagement with Prifina 13:16 AI in Education and Beyond 17:19 Challenges and Customization in AI Responses 25:04 Simplifying AI for Consumers 25:37 Building and Launching AI Products 28:56 Consumer-Grade AI Platforms 30:14 Horizontal AI Applications 33:02 Contrast between Prifina approach vs. Fine-tuning an LLm 37:14 Business Model and Pricing 40:41 Future of AI Representatives 46:30 Final Thoughts and Upcoming Features Resources Company website: LinkedIn: Twitter (X): Facebook: Markus AI Twin chat:
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The Future of Construction with AI and Robotics | Maria Telleria, Canvas Build
11/01/2024
The Future of Construction with AI and Robotics | Maria Telleria, Canvas Build
In this episode, we speak with Maria Telleria co-founder and CTO of Canvas. Maria shares her journey from a mechanical engineering background in Mexico to leading innovations in AI and robotics for the construction industry. Starting from her research at MIT to building robots designed for unstructured environments, Maria discusses the challenges and breakthroughs in integrating AI with hardware. She emphasizes the critical role of sensors, AI models, and safety checks in developing effective robotic solutions. Maria also elaborates on how Canvas' technology is improving productivity and safety in construction, outlining the business benefits and future prospects for robots in commercial settings. The conversation covers the practical applications, adoption strategies, and the new hardware platform Canvas is launching to further augment construction workflows. 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: Maria Telleria is co-founder and CTO of venture-backed Canvas. Her company is building and deploying robotic systems to assist workers in arduous and dangerous construction tasks. The Canvas System is now being deployed in the Bay Area. Before Canvas, Maria was a company lead at Otherlab, an independent research laboratory focused on developing hard tech ideas from research to product. At Otherlab, she oversaw three large-scale government grants and two commercial development programs aimed at developing a new class of compliant robotic systems for unstructured environments. She secured multi-million-dollar grants from agencies like NASA, DARPA, and the Office of Naval Research. She is author on sixteen patents and fifteen patent applications related to Canvas systems and is a co-inventor on an additional three patents related to pneumatic robots. Prior to joining Otherlab, Ms. Telleria worked at MIT Lincoln Laboratory on the design of next-generation data systems. Maria holds a Ph.D. in Mechanical Engineering from MIT. Her dissertation established the field of cylindrical compliant mechanisms. While at MIT she co-founded the MIT Grad Catalyst Program with the mission to give minority students the tools and information required to pursue advanced degrees in science and technology. Time Stamps: 00:31 Maria’s introduction and background 03:50 Challenges in Robotics 05:46 Canvas and real-world applications 07:58 AI and robotics in construction 14:22 Infusing AI into hardware 16:52 Simulation and data challenges 23:05 Use cases for the future of robotics 27:09 Core components of AI-enabled hardware 30:40 Human-AI Collaboration 32:21 Real-world applications and challenges 38:07 Market launch and business strategy 43:10 Adoption and future prospects 46:37 Future directions and how to get in contact with the Canvas team Resources Company website: https://www.canvas.build/ LinkedIn: https://www.linkedin.com/company/we-are-canvas/ Twitter: Instagram:
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Ensuring Trust and Compliance in AI | Guru Sethupathy, Fairnow AI
10/24/2024
Ensuring Trust and Compliance in AI | Guru Sethupathy, Fairnow AI
AI governance and risk management are crucial frameworks designed to ensure the responsible development, deployment, and oversight of artificial intelligence technologies. As AI becomes increasingly integral to various sectors, effective governance ensures that these systems operate ethically, transparently, and in compliance with relevant regulations. It addresses key issues such as bias, fairness, accountability, and privacy, ensuring that AI systems benefit society while minimizing potential harms. Risk management in AI involves identifying, assessing, and mitigating risks associated with AI technologies, from algorithmic bias to security vulnerabilities, to safeguard against negative impacts and promote trust in AI applications. In this episode, we sit with Guru Sethupaty Co-founder and CEO of Fairnow. Guru talk about his extensive background in AI, detailing his journey from an AI enthusiast inspired by IBM's Deep Blue to his academic pursuits at Stanford and professional contributions at Capital One. The conversation delve into the critical aspects of AI governance and risk management, emphasizing the challenges enterprises face in integrating and scaling AI technologies while ensuring compliance and trustworthiness. Guru introduces Fairnow, which provides a platform to help organizations automate AI governance, manage risks, and comply with evolving regulations. Specific case studies, such as the Air Canada chatbot mishap, highlight the necessity for rigorous AI governance. Furthermore, they discuss the market dynamics, talent acquisition challenges in the AI sector, and the future landscape of AI governance. 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: Guru Sethupathy has dedicated nearly two decades to understanding the impact of powerful technologies, such as AI, on business value, risks, and the workforce. He has written research papers on bias in algorithmic systems and the implications of AI technology on jobs. At McKinsey, he advised Fortune 100 leaders on harnessing the power of analytics and AI, while managing risks. As a senior executive at Capital One, he built the People Analytics, Technology, and Strategy function, leading both AI innovations as well as AI risk management in HR. Most recently, Guru founded a new venture, FairNow. FairNow’s AI governance software reflects Guru’s commitment to helping organizations maximize the potential of AI while managing risks through good governance. When he’s not thinking about AI governance, you can find him on the tennis court, just narrowly escaping defeat at the hands of his two daughters. Guru has a BS in Computer Science from Stanford and a PhD in Economics from Columbia. Time Stamps: 01:59 Guru’s background and journey into AI 06:17 Implications of AI in the enterprise world 09:24 Challenges in AI adoption 11:03 Founding of Fair Now 13:18 Fair Now's governance platform 15:09 Governance and compliance examples 19:18 Modules and customer engagement 21:49 AI integration: understanding compliance and regulations 24:46 Building the engineering and data science team 27:54 Navigating talent acquisition challenges 31:00 Strategies for enterprise sales 34:09 The future of AI governance 38:26 Future directions and how to get in contact with the Fair Now AI team Resources Company website: LinkedIn: Twitter:
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Improving AI Evaluation with Data-Driven Approach | Yi Zhang, Relari
10/17/2024
Improving AI Evaluation with Data-Driven Approach | Yi Zhang, Relari
When getting into AI application development, it's important not to overlook the evaluation process. Many companies concentrate on building and training AI models, but struggle with systematically assessing the performance of these models. This emphasizes the necessity of using robust evaluation tools to accurately gauge the effectiveness of AI systems, stressing the importance of quantitatively measuring AI performance to identify strengths and weaknesses. Today, we sit with Yi Zhang, co-founder of Relari AI, to learn about their journey from a mix of finance and technology backgrounds into the field of artificial intelligence. We discussed Yi Zhang's early career in computer science, a role in investment banking, and then a transition to AI with a significant position at Pony AI. Our conversation focused on the evolution of the AI industry, specifically the transformative impact of LLMs (Large Language Models) like ChatGPT. We also examined Relari AI's mission to tackle the challenges of operationalizing AI applications, emphasizing their unique approach using synthetic data for rigorous evaluation. Additionally, we covered the importance of cross-industry AI applications, the critical need for reliability in AI outputs, and the company's ongoing recruitment efforts to grow their innovative team. 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: Yi is the co-founder & CEO of Relari AI. Relari is the testing and simulation platform for Generative AI systems. AI teams use Relari to generate large scale synthetic data to systematically test and improve their LLM-powered applications. Relari is backed by top investors like Y Combinator, Soma Capital and General Catalyst. Prior to founding Relari, Yi was a product leader at two AI unicorns, Pony.ai - an autonomous vehicle startup and Dexterity.ai - an AI robotics startup. Yi holds a Bachelor's Degree in Computer Science from Northwestern University and an MBA from Harvard Business School. Time Stamps: 01:40 Yi’s background and journey into AI 05:41 Founding Relari: The genesis and vision 07:46 Challenges in moving LLMs from demos to production 11:57 Relari's approach to AI evaluation and synthetic data 19:19 Synthetic data and its importance 21:36 Using synthetic data to improve AI chatbot accuracy 26:38 Optimizing AI systems through evaluation and improvement strategies 32:08 The evolution of AI adoption in enterprises 35:33 Building the Relari team 40:17 Closing remarks and how to get in contact with the Relari team Resources Company website: LinkedIn: Twitter:
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AI Governance and Responsible Innovation | Gerald Kierce, Trustible AI
07/11/2024
AI Governance and Responsible Innovation | Gerald Kierce, Trustible AI
Understanding the regulatory landscape in AI governance is essential for organizations to comply with emerging regulations, such as the EU AI Act. Responsible AI goes beyond principles to accountability, requiring organizations to demonstrate ethical practices in their AI implementations. Model transparency ratings provide a valuable tool for evaluating large language models and assessing their risk factors based on public disclosure. In this episode we sit with Gerald Kierce, co-founder and CEO of Trustible AI, a leading technology provider focused on responsible AI governance. Gerald provides insights into his background, including his experience at FiscalNote and his vision for Trustible AI. The discussion covers how Trustible AI helps organizations manage AI risks, comply with emerging regulations, and implement responsible AI practices. Gerald also shares his thoughts on the regulatory landscape, the role of third-party audits, and the challenges and strategies in building an AI governance platform. The conversation also touches upon Trustible AI's recent feature, the model transparency ratings, and the complexities of fundraising in the AI sector. 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: Gerald Kierce is the Co-Founder & CEO of Trustible – a leading technology provider of responsible AI governance. Its software platform enables AI and compliance teams to scale their AI Governance programs to help build trust, manage risk, and comply with AI regulations. Prior to founding Trustible, Gerald was an executive at FiscalNote (NYSE: NOTE) where he spent nearly a decade at the company across a variety of roles including VP & General Manager of their AI Solutions division, Corporate Development, Chief of Staff, Product Marketing, and Customer Success. FiscalNote was the most recent DC-based company to go public in the New York Stock Exchange in August of 2022. He is originally from San Juan, Puerto Rico. Time Stamps: 01:46 Gerald's background and journey into AI 03:58 Navigating AI without a technical background 07:45 Trustible AI pain point: AI Governance and Compliance 13:36 Managing AI risks and mitigation strategies 17:13 The shift from responsible AI to accountable AI 21:34 Navigating AI governance and regulatory compliance challenges 25:50 AI in practice: Real-world applications 28:25 Challenges and solutions in deploying generative AI models 30:04 Building an AI startup: From vision to product adoption 36:31 Understanding model transparency ratings for evaluating AI risks 41:14 Fundraising and market dynamics in AI 45:23 Future Directions and how to get in contact with the Trustible team Resources Company website: LinkedIn: Twitter:
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Decarbonizing Buildings with AI | Omar Tabba, Brainbox
06/27/2024
Decarbonizing Buildings with AI | Omar Tabba, Brainbox
In this episode, we sit with Omar Tabba, Chief Product Officer at Brainbox AI, to delve into the transformative use of artificial intelligence in building automation and energy efficiency. With over 20 years of experience, Omar shares his journey into the AI sector, real-world applications of AI in managing HVAC systems, and Brainbox AI's innovations like ARIA, the world's first virtual building assistant. We discuss the operational and environmental benefits of AI in smart building management, including significant reductions in energy consumption and carbon emissions. The conversation highlights the importance of normalized data, the role of AI in predictive maintenance, and the cultural and technical synergies needed to drive AI innovations in the built environment. 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: Omar Tabba leads the product management function at BrainBox AI. With more than 20 years of expertise in energy efficiency, artificial intelligence, and building automation, he has held various positions spanning technical, sales, and executive roles. Prior to joining BrainBox AI, he led the digital solutions team at the General Electric Current business unit, where he supported the sale of Current’s digital solutions to Fortune 200 companies as well as the product, marketing and business development functions. Earlier in his career, Omar co-founded a venture-backed lighting control company and spearheaded sales for Distech Controls (NYSE:AYI) across Eastern North America and the Middle East. A patent holder, Omar has applied building automation and energy management systems globally across multiple vertical markets (e.g., retail, commercial office, education) and in portfolios ranging from single buildings to several thousand. Time Stamps: 01:55 Omar's journey into AI and smart buildings 05:11 Pain point that Brainbox is solving: building automation systems 09:01 ROI benefit examples 11:37 The role of AI in building management 16:05 AI applications in building maintenance 20:40 Acquiring and integrating building data 22:17 Solving data retention issues 23:54 Introducing ARIA: The Virtual building assistant 26:28 Building a specialized technical team 30:00 Navigating the AI talent market 32:25 The importance of cultural fit for hiring the right team 36:05 Funding journey and investor insights 41:00 The future of AI in building management 43:10 Exciting Announcements for 2024 Resources Company website: Instagram: LinkedIn: Facebook: Twitter:
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Enhancing Data Privacy and Compliance with AI | Patricia Thaine, Private AI
06/20/2024
Enhancing Data Privacy and Compliance with AI | Patricia Thaine, Private AI
In today’s episode, we sit with Patricia Thaine, the Co-founder and CEO of Private AI. Patricia shares her journey into the world of AI, the challenges companies face in adhering to data protection regulations like GDPR, and the vital role of privacy-enhancing technologies. She elaborates on how Private AI leverages artificial intelligence to help companies identify and safeguard personal information within their data, ensuring compliance and protecting customer privacy. Additionally, Patricia emphasizes the importance of data minimization and discusses the real-world applications of AI in addressing privacy and data protection challenges. Private AI is addressing the pain point of data privacy by leveraging AI to help companies identify and protect personal information in unstructured data. Patricia explained that AI is crucial in understanding the context of the data and making accurate predictions about what constitutes personal information. While traditional methods like regular expressions can be used, they often fall short due to their inability to handle the complexity and variety of unstructured data. 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: Patricia Thaine is the Co-Founder & CEO of Private AI, a Microsoft-backed startup who raised their Series A led by the BDC in November 2022. Private AI was named a 2023 Technology Pioneer by the World Economic Forum and a Gartner Cool Vendor. She is also a Computer Science PhD Candidate at the University of Toronto (on leave) and a Vector Institute alumna. Her R&D work is focused on privacy-preserving natural language processing, with a focus on applied cryptography and re-identification risk. She also does research on computational methods for lost language decipherment. Patricia is a recipient of the NSERC Postgraduate Scholarship, the RBC Graduate Fellowship, the Beatrice “Trixie” Worsley Graduate Scholarship in Computer Science, and the Ontario Graduate Scholarship. She is the co-inventor of one U.S. patent and has ten years of research and software development experience, including at the McGill Language Development Lab, the University of Toronto’s Computational Linguistics Lab, the University of Toronto’s Department of Linguistics, and the Public Health Agency of Canada. Time Stamps: 02:10 Patricia's background and journey into AI 03:54 Challenges and solutions in data privacy 06:15 Consequences of noncompliance in data protection 09:43 Enhancing data privacy in AI startups 11:34 Unraveling data privacy in AI for multinational compliance 15:11 Demystifying AI’s role in data analysis and application 17:10 AI, privacy, and internal risks in large language models 21:09 Building the private AI platform: Team and technology insights 23:35 Efficiency and expertise in building custom machine learning models 28:33 Catalysts and compliance in conversational AI adoption 30:35 Evaluating AI’s role over regular expressions in customer solutions 33:07 Investing millions for superior Data-Driven AI models 34:51 Fundraising journey for an AI startup 38:20 Private AI upcoming announcements and where to find them Resources Company website: Youtube: LinkedIn: Patricia’s LinkedIn: Twitter:
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AI Agents and the Future Workforce | Alexander de Ridder, SmythOS
06/13/2024
AI Agents and the Future Workforce | Alexander de Ridder, SmythOS
Artificial intelligence (AI) has come a long way since its early days of identifying cats in images. Today, AI is transforming the way we work and interact with technology, thanks to the development of AI agents. These agents, powered by advanced AI models, act as virtual colleagues, capable of automating tasks, providing insights, and orchestrating complex workflows In this episode we speak with Alexander de RidderDirector, co-founder and CTO of Ink Co. The conversation explores Alexander's journey in the AI and machine learning space, starting from early innovations in computer vision to the development of Smith OS, an operating system for collaborative AI agents. Alexander shares insights into the transformative potential of AI in marketing, SEO, and business, highlighting his contributions through patenting semantic optimization technology and predicting Google rankings with impressive accuracy. The discussion also covers the impact of AI on consumer and enterprise levels, the advent of AI agents and multi-agent systems as future workforces, and the challenges and opportunities presented by AI integration into various sectors. Alexander emphasizes the importance of AI orchestration through tools like Smith OS and offers advice for individuals interested in AI, highlighting AI technology's democratizing potential. 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: Alexander De Ridder is an entrepreneur, technologist, and visionary focused on leveraging AI to transform marketing and business. As Co-Founder and CTO of INK Content, Inc., he currently leads the development of Smyth OS, an operating system for collaborative AI agents.A recognized thought leader on the future of AI, Alexander paints a bold vision for how AI assistants will interact with specialized websites to deliver hyper-relevant, personalized experiences he calls "Web 3.0." He sees major changes on the horizon as AI transforms search, e-commerce, and human-computer interaction.With deep expertise in areas including AI, machine learning, marketing, and SEO, Alexander frequently shares his insights on where technology is heading and how businesses can prepare. He advises enterprises on transitioning to AI-driven strategies and workflows. Time Stamps: 02:00 Alexander's journey: from machine learning to AI pioneering 05:26 The evolution of AI in search and content marketing 08:03 Revolutionizing content creation with AI 13:08 The future of AI agents and workforce automation 19:24 The exponential growth of AI through multi-agent systems 23:17 Consumer domination and workspace revolution 28:35 Exploring the capabilities of AI in automation 30:32 Showcasing SmythOS: practical applications and examples 35:22 Building your Own AI agent: Accessibility and Skill Levels 41:46 The Technical Backbone of SmythOS 47:30 SmythOS found raising journey: the future of work with AI agents 51:54 How to get in contact with the SmythOs team Resources: Company website: Facebook: LinkedIn: Twitter:
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Error Monitoring with Continuous AI Code Improvement | Brian Rue, Rollbar
06/06/2024
Error Monitoring with Continuous AI Code Improvement | Brian Rue, Rollbar
In this episode, we sit with Brian Rue, the CEO and co-founder of Rollbar. They discuss Rollbar’s continuous code improvement platform, which uses AI to help developers proactively discover, predict, and fix errors in their code. Brian shares his background in coding and how his experience in building social games on Facebook led him to start Rollbar. He explains the evolution of their error monitoring solution and how they incorporated AI to provide accurate alerts and signals to developers. They also discuss the impact of AI on developer productivity and the value proposition of Rollbar’s AI-driven solution. The introduction of AI into Rollbar’s error monitoring solution revolutionized the process. By leveraging AI, Rollbar could accurately identify and group errors, saving developers from sifting through millions of error reports. The AI solution incorporated domain-specific knowledge and inferred patterns based on data, enabling developers to focus on the most critical issues. This automation not only improved the accuracy of error detection but also allowed developers to respond faster to issues, leading to increased efficiency and productivity. 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: Brian is the CEO and Co-founder of Rollbar, the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate rather than spending time monitoring, investigating, and debugging. Brian founded the company with Cory Virok in 2012. Prior to Rollbar, Brian was the CTO and Co-founder of Lolapps, a leading publisher of independent games on social networks and mobile platforms. Brian attended Stanford University where he studied Management Science and Engineering. Time Stamps: 01:38 Brian Rue background and professional journey 05:20 Enhancing error monitoring through AI integration 09:26 Maximizing developer efficiency through AI automation 13:33 Acquiring talent and technology for AI integration 16:40 Managing Time Zones in Global Teams 19:27 Rollbar's go to market strategy 21:47 Balancing product adoption and value proposition in sales 24:13 Navigating VC funding in a challenging tech ecosystem 25:46 What's coming up for Rollbar in 2024, and what are the future plans Resources Twitter: Company website: LinkedIn:
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Driving Social Impact in AI via Human-Centric Data Annotation | Wendy Gonzales, Sama
05/30/2024
Driving Social Impact in AI via Human-Centric Data Annotation | Wendy Gonzales, Sama
In this episode we speak with Wendy Gonzalez, CEO of Sama, a company at the forefront of providing high-quality training data for AI technologies, used by major companies like Walmart, Google, Nvidia, GM, and more. Under Wendy's leadership, Sama has gained recognition for its rapid growth and her dedication to creating employment opportunities in underserved communities. The conversation delves into Sama's foundation on the belief of distributing opportunity through job creation in the digital economy, their focus on AI data pipeline development, and the shift towards data annotation and AI model training. Wendy discusses the importance of human judgment in AI development and Sama's approach to employment, and fostering a diverse and skilled workforce. She also touches on Sama's involvement with synthetic data, the ethical considerations in AI, the potential of generative AI in various applications, and how Sama addresses the challenges and opportunities in AI technology development while emphasizing social responsibility and workforce development in underrepresented communities. 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: Wendy Gonzalez is the CEO of Sama, which is a leader in providing high-quality training data to power AI technology and is used by leading technology companies such as Walmart, Google, NVIDIA, GM, and Getty. Under Wendy’s leadership, Sama has placed on the Inc. 5000 list as one of America's fastest-growing private companies for the past four years. She has also been recognized by the Globee Awards for Women in Business, the TITAN Awards for Women in Business, and the Stevie Awards for Women in Business due to her leadership and Sama’s growth. Prior to taking on the role of CEO, Wendy spent five years at Sama as COO, and is an active Board Member of the Leila Janah Foundation. As CEO, she is one of few female leaders within the male-dominated AI industry. With two decades of managerial and technology leadership experience, Wendy is an executive passionate about building high-performing, high-functioning teams that develop and scale innovative, impactful technology. Time Stamps: 02:14 Wendy's Journey: from management consulting to AI leadership 04:03 Bridging talent and opportunity in AI 06:42 From data annotation to AI model validation 08:24 Sama's approach to AI data 13:05 How Sama works with businesses 14:27 Generative AI vs traditional ML 21:08 Sama's Role in the future of AI 23:38 Monetization and investment in AI technologies 25:49 The importance of high accuracy in AI applications 28:01 Addressing multilingual support and complex data categories 29:52 Data privacy and security in AI development 36:06 The role of synthetic data in enhancing AI models 37:58 Empowering underrepresented communities through AI jobs 43:37 Excitement and challenges in AI for 2024 Resources Company website: Twitter: Instagram: LinkedIn:
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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/
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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:
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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:
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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:
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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:
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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:
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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:
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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:
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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
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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:
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