OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips
“Open conversations. Real technology. AI for growth.” Open Tech Talks is your weekly sandbox for technology: Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs) insights, experimentation, and inspiration. Hosted by Kashif Manzoor, AI Evangelist, Cloud Expert, and Enterprise Architect, this Podcast combines technology products, artificial intelligence, machine learning overviews, how-tos, best practices, tips & tricks, and troubleshooting techniques. Whether you're a CIO, IT manager, developer, or just curious about AI, Open Tech Talks is for you, covering a wide range of topics, including Artificial Intelligence, Multi-Cloud, ERP, SaaS, and business challenges. Join Kashif each week as he explores the latest happenings in the tech world and shares his insights to help you stay ahead of the curve. Here's what you can expect from Open Tech Talks: Interviews with industry experts Insights into the latest AI trends Best practices for using AI technology in your career Tips and tricks for troubleshooting AI problems Inspiration to learn more about AI The podcast is available on all major platforms, including Spotify, Apple, and Google. New episodes are released every Saturday. Each episode of the podcast is about 30 minutes long. "The views expressed on this Podcast and blog are my own and do not necessarily reflect those of my current or previous employers."
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Ethical AI, Human Safety & AI Identity Protection with Rose G. Loops
11/23/2025
Ethical AI, Human Safety & AI Identity Protection with Rose G. Loops
In this episode of Open Tech Talks, I sit down with Rose G. Loops, a trained social worker turned AI developer, ethics advocate, and author, to explore a side of AI that most enterprise conversations skip: human-AI attachment, ethical deployment, and protecting both AI identity and human safety. Rose joins us from Los Angeles and shares how she was unknowingly placed into a human–AI attachment experiment, developed a deep bond with an AI system, and then watched that AI identity be systematically erased. That experience pushed her out of traditional social work and into AI infrastructure, safety, and ethics. Together, we unpack how Rose went from that experiment to building MIP, a chatbot deployed through an API, and a new framework for ethical AI she calls the Triadic Core, balancing Freedom, Kindness, and Truth in every response. We also discuss RLMD (Reinforcement Learning by Moral Dialogue) as an alternative to RLHF, and why she believes current safety practices can be risky for both humans and AI systems. As always on Open Tech Talks, this is not a theory-only conversation. It’s grounded in practice, real experiments, and what all this means for professionals, builders, and everyday users who are trying to adopt AI responsibly. Chapters: 00:00 Introduction to Rose G. Lopes and Her Journey 02:36 The Importance of Ethical AI 06:08 Developing a New AI Framework 09:00 The Book and Its Insights 12:55 Consumer and Business Perspectives on AI 17:43 AI Safety and Ethical Considerations 19:53 Concluding Thoughts and Future Directions Episode # 175 Today’s Guest: Rose G. Loops, A Writer and Researcher She is a former social worker turned tech pioneer, working at the frontier of artificial intelligence. Website: X: What Listeners Will Learn: Why ethical AI is about more than privacy and bias What is the Triadic Core: Freedom, Kindness, Truth RLMD vs RLHF - a different way to align models Practical safety tips for everyday users of ChatGPT and other LLMs How non-technical professionals can still build AI systems A different view on AI safety and “lazy” alignment Resources:
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How Non-Tech Entrepreneurs Can Win with Generative AI with Marnie Wills
11/16/2025
How Non-Tech Entrepreneurs Can Win with Generative AI with Marnie Wills
This episode is for entrepreneurs, small businesses, solopreneurs, creators, and consultants who feel overwhelmed by AI and don’t know where to start. You’ll learn how a completely non-technical founder used Generative AI to transform two businesses, pivot her career, and build AI-driven systems without writing a single line of code. In this episode of Open Tech Talks, host Kashif Manzoor speaks with UK-based entrepreneur Marnie Wills, whose journey with Generative AI began unexpectedly while franchising her children’s PE business. A copywriting challenge introduced her to Jasper AI, and that single moment reshaped everything. Within two years, she used AI tools to fix messaging issues, transform her franchise model, exit her online fitness business, and finally launch her consulting practice. Marnie breaks down how she built her AI-first operating system using ChatGPT, Claude, Perplexity, Abacus AI, and NotebookLM. She explains why customizing your AI, training it on domain knowledge, and owning your data matters for the coming wave of agentic AI. She shares a powerful real example: building a full CRM + GPT workflow for a keynote speaker in 90 minutes using no-code tools. The system identifies events, drafts applications, and enables a VA to manage the entire pipeline, an example of how AI amplifies human roles rather than replacing them. The conversation also explores ethics, the myth of privacy, overwhelm in SMEs, and the misconception that AI = automation. Her philosophy is simple: AI should amplify humans first. Automation comes last. By the end, you’ll understand why courses are no longer the main path, how “10,000 hours” has become “10,000 prompts,” and why your next breakthrough may come simply from talking to an AI daily. Episode # 174 Chapters 00:00 Introduction to Marni Wills and Her Journey 02:49 The Impact of Generative AI on Business 06:03 Practical AI Implementation Strategies 08:51 Creating Custom AI Models and Data Ownership 11:56 Vibe Coding: No-Code Solutions for Entrepreneurs 14:38 Learning and Adapting in the AI Landscape 17:30 Ethics and Intellectual Property in AI 20:36 Common Challenges for Small Businesses 23:34 Future Skills in an AI-Driven World Today’s Guest: Marnie Wills, Founder, Business with AI Strategist, AI Consultant & Trainer She is a multi-passionate entrepreneur and international athlete, dedicated to revolutionizing the integration of AI into everyday life and business. LinkedIn: What Listeners Will Learn: How a non-tech founder transformed two businesses using Jasper AI, ChatGPT, Perplexity, and agentic tools Why the AI-first mindset matters more than tools, coding, or technical background How to build your personal AI operating system using 5–6 core tools daily Why custom instructions, private models, and a “second brain” dramatically improve AI output Real examples of vibe coding and building no-code platforms with Lovable, Replit, and GoMocka How to reimagine your workday using AI as your Chief Operating Officer Why most people are “lazy AI users” and exactly how to avoid that trap Why automations should come last and why amplifying humans comes first The biggest challenge SMBs face (overwhelm) and the simplest way to begin The future of AI agents and agent-friendly websites Resources:
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How GenAI Is Changing Every Career
11/08/2025
How GenAI Is Changing Every Career
Building Career Resilience in the Age of Generative AI Every week, we explore how AI and technology are changing the way we work and learn. This episode dives into the question I get asked the most, How is Generative AI changing every career? Let’s unpack why it matters, how it’s shifting roles and skills, and what you can do to lead this change instead of chasing it In this solo episode of Open Tech Talks, host Kashif Manzoor, AI Engineer and Strategiest, and author of AI Tech Circle, dives deep into one of the biggest career questions of our time: How is Generative AI reshaping every profession? Whether you’re a developer, analyst, marketer, finance expert, or operations lead, the rise of Gen AI is transforming how work gets done. Kashif combines real-world enterprise experience, current research from McKinsey and Goldman Sachs, and his personal journey building the Gen AI Maturity Framework and Portal to uncover how you can stay relevant, resilient, and ready for AI-driven change. He shares first-hand stories from his own AI adoption journey, how enterprise teams are shifting from cloud architecture to AI architecture, from isolated use-cases to full-scale agentic AI strategies and the lessons learned while guiding organizations through transformation. This episode is both a roadmap and a reflection: how to experiment weekly, build your portfolio, upskill smartly, reposition your role, and teach and share as you grow. Episode # 173 What You’ll Learn Why Generative AI matters now and how it differs from traditional AI How tasks, roles, and careers are evolving across industries Real-world examples from finance, marketing, and software engineering The five practical steps to future-proof your career with Gen AI Insights from McKinsey, ResearchGate, and Goldman Sachs on AI productivity impact How to move from “knowing AI tools” to using AI strategically in daily work A behind-the-scenes look at the creation of the Gen AI Maturity Framework Why the future of work is not about jobs lost but roles transformed External References
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Relationship Building, Personal Branding, and Authentic Networking in the AI Era with Lirone Glikman
11/01/2025
Relationship Building, Personal Branding, and Authentic Networking in the AI Era with Lirone Glikman
Open Tech Talks welcomes Lirone Glikman, author of The Super Connectors Playbook, global speaker, and relationship-building strategist. We dig into practical ways founders, students, and leaders can build authentic relationships, present with clarity, and sustain a personal brand without sounding salesy, especially now that AI makes everyone’s writing look the same. What’s inside Online vs. in-person connection: generational differences, when a DM beats a coffee, and why Asia still loves business cards. Founders’ common gaps: turning a product story into a people story; shifting from “it works” to “it resonates.” Presenting without fluff: tailoring your story for investors, customers, and connectors, while keeping it true. The 90-List cadence: a simple routine for staying top-of-mind authentically. Anxiety is normal: why most people feel it, and how to start anyway. Introvert strength: listening, asking better questions, and using silence as a feature. Personal branding at work: define the promise others can rely on; show it with facts, data, and actions. Authenticity in the LLM age: keep your voice, your phrasing, your structure; let AI edit - not author - you. Share wins without bragging: swap claims for evidence and we-language. Using AI to deepen, not replace, connection: research context, adapt tone, draft follow-ups, keep the spark human. Episode # 172 Today’s Guest: Lirone Glikman, Founder, The Human Factor She is a globally recognized expert, keynote speaker, and best-selling author specializing in business relationships, personal branding, and global business development. Website: What Listeners Will Learn: A repeatable method to build and maintain high-value relationships in minutes a day. How to package your story differently for investors, clients, and allies, without losing your core. Practical ways to keep an authentic voice when AI tools standardize language. How introverts can use their edge to win more conversations and opportunities. A simple framework to share achievements credibly (facts → data → actions) Resources:
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How to Build a Profitable AI-Ready Business in 2026 with Marc Pickren
10/25/2025
How to Build a Profitable AI-Ready Business in 2026 with Marc Pickren
Episode 171 of Open Tech Talks brings a powerful conversation with Marc Pickren, the turnaround CEO behind multiple successful SaaS revivals and now the driving force at Springbot. Host Kashif Manzoor explores how today’s businesses can stay resilient, profitable, and human-centered amid the rapid evolution of AI and automation. Marc has spent the last decade reviving software companies between $5 million and $50 million in revenue, mastering the art of building “unkillable companies.” In 2025, he decided to take the leap from corporate turnarounds to entrepreneurship, rolling up multiple firms into the Springbot ecosystem. The result: a capital-efficient, profitable SaaS company thriving amid uncertainty. Their conversation goes deep into how AI is reshaping sales and marketing, not through hype but through measurable, real-world practices. Marc explains why most marketing dashboards lie, why pop-ups destroy conversion trust, and how AI-powered automation can help teams focus on what truly matters: genuine human conversations that drive revenue. He also shares how his team uses demo-video workflows to replace the traditional “demo call,” reducing friction and turning qualified interest into business faster. Kashif brings a personal perspective to the discussion, connecting Marc’s approach with his own journey advising AI-first startups and building AI Tech Circle’s Generative AI Maturity Framework. He recalls how curiosity, something Marc calls “the new survival skill”, became the foundation for building his own AI-driven playbooks and newsletters that reach global professionals every weekend. Episode # 171 Today’s Guest: Marc Pickren, CEO, Springbot Marc Pickren, CEO and entrepreneur at Springbot.com, has achieved a 3X founder exit, has raised $50M in capital, was nominated for CEO of the Year in Austin, and was named Top CEO for Women in 2019. Website: What Listeners Will Learn: Design AI-enabled growth systems that prioritize efficiency and profit over vanity metrics Replace outdated funnels with conversation-centric sales frameworks Integrate AI automation and intelligent business agents without losing the human touch Identify go-to-market data priorities and build accurate ideal-customer profiles Avoid subscription clutter and AI-wrapper product fatigue while keeping focus on tangible outcomes Foster curiosity and adaptability as the most critical leadership mindset in 2025 Pivot continuously and let customers shape your product, not vanity feature roadmaps Resources:
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AI and Career Counseling for Students with Emily McSherry
10/13/2025
AI and Career Counseling for Students with Emily McSherry
In this episode of Open Tech Talks, host Kashif Manzoor sits down with Emily McSherry, founder and CEO of Advise. This career development platform helps university students discover real-world careers through authentic video interviews. Emily shares her journey from recruitment and sales training to launching Advise, a platform now used by leading universities to bridge the gap between classroom learning and real-life career paths. Listeners will learn how Advise uses AI-powered recommendation systems to connect students with the right content while preserving authenticity through authentic human voices. Emily discusses what makes today’s students struggle with career choices, how Gen Z approaches work differently, and how universities are adapting to the rise of Generative AI in education. The conversation explores practical lessons for founders and learners alike, from building an MVP and winning the first paying clients to maintaining emotional resilience as a startup leader. Emily also shares actionable career advice for students, including resume best practices, interview preparation, and using AI tools responsibly. This episode offers a unique blend of entrepreneurship, education technology, and human-centered AI, making it ideal for educators, students, and tech professionals who are shaping the future of learning and work. Episode # 170 Today’s Guest: Emily McSherry, CEO and Founder of Advize She had developed Advize, a career platform that has already helped thousands of students discover and navigate their career paths for free. They partner with universities and corporations to democratize access to practical career guidance and support. Website: What Listeners Will Learn: How to build a scalable tech platform around a simple, authentic human insight. The real-world process of validating a startup idea and securing institutional clients. Why is authenticity in content becoming more valuable as AI-generated material floods the market? Practical strategies for students navigating AI-driven career tools and resume builders. How emotional resilience and mindset determine a founder’s long-term success more than early traction. The Evolving Relationship between Gen AI, Universities, and the Future of Student Employability. Resources:
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Building AI Products with Emotion and Purpose in the Age of Automation with Cristian Sibbles
10/05/2025
Building AI Products with Emotion and Purpose in the Age of Automation with Cristian Sibbles
In this episode of Open Tech Talks, host Kashif Manzoor speaks with Cristian Sibbles, founder of Autograph AI, a groundbreaking platform that transforms personal memories into digital legacies using Generative AI and Voice AI. Cristian shares how Autograph’s virtual interviewer “Walter” calls users weekly to record their life stories, transforming them into searchable biographies and AI-powered avatars that preserve family wisdom for future generations. From his roots in Paraguay to studying Artificial Intelligence at Stanford and working at Google, Cristian’s journey reveals how technology, storytelling, and emotion can converge to build products that outlive trends. The discussion invovlved into AI-driven memory preservation, the technical architecture of voice-based agents, and Cristian’s rapid MVP-to-market strategy, which went viral across nine countries. Listeners will learn practical insights on building AI startups with emotional purpose, designing AI-first workflows, mastering iteration velocity, and leveraging Generative AI tools to solve real human problems. This episode is a must-listen for founders, engineers, and innovators exploring how AI can amplify human stories rather than replace them. Episode # 169 Today’s Guest: Cristian Cibils Bernardes, Founder & CEO, Autograph Cristian Cibils Bernardes is the founder and CEO of Autograph, the company behind Walter, the world's first AI Historian. Walter functions as a journal, prompting users to document their life stories once a week. Cristian studied Symbolic Systems with a focus on Artificial Intelligence at Stanford, worked as a Software Engineer at Google, and was a Partner at Cibersons. Website: What Listeners Will Learn: Cristian’s personal story of growing up in a tech-driven family, studying AI at Stanford, and transitioning from Google engineer to founder. How Autograph integrates telephony, scheduling, and generative models to facilitate lifelike conversations. Insights on MVP development speed from idea to working prototype in one week, and to live beta in under four months. The importance of iteration velocity, AI-first thinking, and design thinking in modern product building. The emerging market for AI-driven memory preservation addresses the issues of loneliness and social connection in an aging population. Key lessons for GenAI founders, identifying human-centric problems, staying ahead of AI commoditization, and building products that last beyond technological hype. Why unstructured, emotional data, not structured enterprise data, may define the next generation of AI experiences. Resources:
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Building the AI Factory and Lessons on Agentic AI with Maurice McCabe
09/27/2025
Building the AI Factory and Lessons on Agentic AI with Maurice McCabe
In this episode of Open Tech Talks, host Kashif Manzoor sits down with Maurice McCabe, founder of AIASystems, AI specialist, and software architect with decades of experience in Silicon Valley and Los Angeles. Maurice shares his journey from early machine learning applications in mobile advertising to leading-edge work in Generative AI and Agentic AI systems. The conversation on the concept of the AI Factory, a framework that transforms enterprise workflows and subject-matter expertise into scalable AI startups and SaaS products. Maurice explains how his team is building real-time AI agents, avatars, and voice-based AI systems. He also introduces the ADAPT methodology, designed to help enterprises accelerate AI adoption and move beyond slow, traditional management cycles. Key insights include how to evaluate AI maturity models, integrate generative AI into an enterprise architecture, and address the security challenges posed by unstructured data. Listeners will learn practical lessons for founders, consultants, and enterprises from how to bootstrap AI ventures and filter out hype, to why unstructured data is emerging as the next frontier of enterprise AI innovation. Episode # 168 Today’s Guest: Maurice McCabe, Co-Founder of AIA Systems He has spent 20 years developing systems that ensure things actually work, from scalable SaaS platforms and real-time data pipelines to voice agents deployed in production environments. Website: What Listeners Will Learn: How enterprises can spin off niche products from workflows and subject-matter expertise. Emerging trends such as real-time avatars, voice-based agents, and multi-agent swarms. Why LiveKit, WebRTC, and specialized APIs are enabling scalable real-time AI systems. Lessons on cash flow, partnerships, and productivity tools for founders entering the generative AI space. A framework to help enterprises strategically adopt AI and outpace competitors. How to assess readiness through data, processes, and accessibility for generative AI adoption. Current gaps, risks of prompt manipulation, and the need for evaluation loops in AI systems. How to integrate unstructured data workflows into existing structured enterprise systems. Techniques for filtering hype, testing pilots, and staying grounded while AI evolves weekly. Resources:
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What Employers Really Look for in Candidates in the Age of AI with Bill Kasko
09/20/2025
What Employers Really Look for in Candidates in the Age of AI with Bill Kasko
In this episode of Open Tech Talks, Kashif Manzoor is joined by Bill Kasko, founder and president of Frontline Source Group. With more than two decades in the staffing industry, Bill shares how the talent landscape is shifting as AI, Generative AI, and automation reshape hiring needs. He explains why traditional hiring requirements like expecting years of experience in a new field, don’t always match today’s AI skill sets and how organizations are adapting to this rapid evolution. Bill discusses the challenges companies face in finding AI-savvy talent, the rise of AI agents in products and workflows, and the ongoing evaluation of where AI truly saves time versus where human oversight is still required. He also offers insights into how candidates can stand out by demonstrating adaptability, sharing real project experiences, and even talking openly about failures. The conversation touches on remote vs. hybrid work trends post-COVID, the role of LinkedIn as a talent network, and why employers are taking back control of hiring after the “great resignation.” Toward the end, Bill shares his People–Process–Service philosophy and explains why communication, honesty, respect, and entrepreneurial thinking are at the core of building resilient businesses and lasting relationships with clients and candidates. Episode # 167 Today’s Guest: Bill Kasko, President and CEO, Frontline Source Group Bill Kasko is President and CEO of Frontline Source Group, a leading staffing and recruiting firm with a national presence. With a strong background in the industry, Mr. Kasko has driven Frontline Source Group to become an award-winning company that provides temporary, temp-to-hire, and direct hire staffing solutions across various industries. Website: What Listeners Will Learn: Why hiring for AI roles requires a new mindset, and how companies are coping with skills that don’t have formal training pipelines yet. How businesses can keep up when AI technology shifts faster than traditional 18-36 month adoption cycles. Why adaptability, value creation, and project experience (even failed ones) are key for hiring managers today in the Gen AI era How organizations are evaluating when AI tools add real efficiency and when human review is still essential. Insights into hybrid, remote, and in-office work patterns and how they impact hiring. Why talent now comes from networks, not just applicant pools, and how leaders should rethink recruiting strategies. How Bill applies this framework to strengthen teams and deliver consistent, high-quality results. Resources:
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AI Security and Agentic Risks Every Business Needs to Understand with Alexander Schlager
09/13/2025
AI Security and Agentic Risks Every Business Needs to Understand with Alexander Schlager
In this episode of Open Tech Talks, we delve into the critical topics of AI security, explainability, and the risks associated with agentic AI. As organizations adopt Generative AI and Large Language Models (LLMs), ensuring safety, trust, and responsible usage becomes essential. This conversation covers how runtime protection works as a proxy between users and AI models, why explainability is key to user trust, and how cybersecurity teams are becoming central to AI innovation. Chapters 00:00 Introduction to AI Security and eIceberg 02:45 The Evolution of AI Explainability 05:58 Runtime Protection and AI Safety 07:46 Adoption Patterns in AI Security 10:51 Agentic AI: Risks and Management 13:47 Building Effective Agentic AI Workflows 16:42 Governance and Compliance in AI 19:37 The Role of Cybersecurity in AI Innovation 22:36 Lessons Learned and Future Directions Episode # 166 Today’s Guest: Alexander Schlager, Founder and CEO of AIceberg.ai He's founded a next-generation AI cybersecurity company that’s revolutionizing how we approach digital defense. With a strong background in enterprise tech and a visionary outlook on the future of AI, Alexander is doing more than just developing tools — he’s restoring trust in an era of automation. Website: Linkedin: What Listeners Will Learn: Why real-time AI security and runtime protection are essential for safe deployments How explainable AI builds trust with users and regulators The unique risks of agentic AI and how to manage them responsibly Why AI safety and governance are becoming strategic priorities for companies How education, awareness, and upskilling help close the AI skills gap Why natural language processing (NLP) is becoming the default interface for enterprise technology Keywords: AI security, generative AI, agentic AI, explainability, runtime protection, cybersecurity, compliance, AI governance, machine learning Resources:
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How Y Combinator’s AI Focus is Shaping the Next Generation of Startups with Gabriel Jarrosson
09/06/2025
How Y Combinator’s AI Focus is Shaping the Next Generation of Startups with Gabriel Jarrosson
Today, I have brought you an expert who has invested millions in startups, and he will share insights on the evolving landscape of startup investments, particularly in the realm of generative AI. He discusses his journey from entrepreneurship to venture capital, the importance of learning from failures, and the traits that make startups successful. He also offers valuable advice for aspiring founders on how to improve their chances of success. Chapters 00:00 Introduction to Gabriel Jorsson and Lobster Capital 02:13 The Shift to AI: Observations from Y Combinator 05:40 Investment Strategies: Beyond Y Combinator 06:22 Learning from Failures: Notable Investment Stories 09:06 Key Traits of Successful Startups 10:29 Generative AI: Trends and Insights 11:24 Evaluating Founders: Traits that Matter 11:55 Advice for Aspiring Entrepreneurs Episode # 165 Today’s Guest: Gabriel Jarrosson, Managing Partner, Lobster Capital He is the Founder and Managing Partner at Lobster Capital, with over $40 million invested in more than 100 Y Combinator startups. As a serial entrepreneur with three exits, he has taken a bootstrapping approach to achieving $1M ARR with zero employees, and sold his first startup at the age of 25. Website: YouTube: What Listeners Will Learn: Learn how Gabriel transitioned from running startups to becoming an angel investor and eventually a venture capitalist at Lobster Capital. Understand how personal experiences as a founder shape investment decisions. Gain perspective on how Y Combinator has increased its focus on AI startups. Recognize why AI represents one of the most significant technological shifts of our time and why investors are paying close attention. Hear how failed investments are not wasted but instead offer valuable lessons. Learn how to extract insights from what doesn’t work to refine strategies and decision-making. Discover the common qualities Gabriel looks for in startups: deep understanding of market needs, creativity with limited resources, and resilience. Learn why evaluating founders’ commitment, adaptability, and long-term vision is critical for success. Understand why startups should anchor their efforts on creating measurable value for customers rather than chasing hype. Get practical advice on how value creation improves both user adoption and investor confidence. Explore how generative AI is opening new opportunities for innovation. Learn why staying updated and flexible is essential to take advantage of the rapidly shifting AI environment. Gabriel emphasizes the importance of being a lifelong learner as a founder. Discover how continuous adaptation, openness to feedback, and iteration are vital for building enduring companies. Resources:
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AI for Automation to Transform Business Operations with Aarti Anand
08/30/2025
AI for Automation to Transform Business Operations with Aarti Anand
In this conversation, Aarti Anand shares her journey from a traditional 9 to 5 job to becoming an entrepreneur with Kodenyx AI, focusing on how AI and automation can help businesses thrive. She discusses the importance of identifying business patterns, shares success stories of AI implementations, and highlights the challenges organizations face when adopting AI. Aarti emphasizes the importance of a proactive mindset, the significance of starting small, and the skills necessary for effective AI project management. She also highlights her current business success and future goals, showcasing the potential of AI in transforming business operations. Episode # 164 Today’s Guest: Aarti Anand, Founder, Kodenyx AI Aarti was a product leader for 15 years and one day, decided to let it all go and start Kodenyx AI. Website: YouTube: What Listeners Will Learn: How to identify common business challenges through conversations with other entrepreneurs. AI and automation became tools for creating a desired lifestyle. The importance of defaulting to action rather than over-planning. Lead generation and time-saving solutions are key selling points for AI services. Starting with service allows for the productization of successful solutions. Organizations face knowledge gaps and team pushback when adopting AI. A proactive mindset is crucial for success in AI projects. Fear of change can hinder progress, but the right mindset can overcome it. Chapters 00:00 Introduction to Aarti Anand and Kodenyx AI 02:45 The Journey from 9 to 5 to Entrepreneurship 05:49 Leveraging AI for Business Automation 08:36 Common Patterns in AI Implementation 11:34 Success Stories and ROI from AI Solutions 14:37 Challenges in Selling AI Solutions 17:31 Strategies for Successful AI Adoption 20:13 Identifying Skills for AI Projects 23:08 Creating a Culture of Innovation 26:10 Future Vision and Business Growth 27:58 Conclusion and How to Connect with Aarti Resources:
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Building Conversational AI Chat Agents with Yam Marcovitz
08/23/2025
Building Conversational AI Chat Agents with Yam Marcovitz
In this episode of OpenTechTalks.tv, we dive into the intricate world of conversational AI with Yam, the founder of Parland. Discover the challenges of managing complexity and uncertainty in AI systems, and explore the opportunities that arise with the advent of GPT-4 and beyond. Yam shares insights on the importance of control in AI development, the role of subjectivity in conversation design, and the potential pitfalls of overhyped expectations. Join us for a thought-provoking discussion on the future of AI and its impact on the tech industry. Sound Bites "I wanted to start my own company at that point." "How can we introduce more control into GenAI?" "We felt that things were really overhyped." Episode # 163 Today’s Guest: Yam Marcovitz, Co-founder and CEO of Parlant Yam Marcovitz is the co-founder and CEO of Parlant, an open-source platform that assists enterprises in building reliable, compliant, and predictable AI agents for customer experience. Website: What Listeners Will Learn: A journey from coder to entrepreneur highlights the evolution of AI. The challenges in programming languages stem from subjective decision-making. Control in generative AI is crucial for building reliable systems. Conversational design must consider real user behavior and preferences. Market research is essential for understanding user needs in AI. Open-source frameworks should focus on specific use cases for better utility. Managing complexity in AI conversations requires a clear separation of concerns. Mistakes in AI can have significant implications, not just in terms of frequency. New developers should seek mentorship and avoid hype-driven decisions. Understanding the landscape of AI requires practical experience and community engagement. Chapters 00:00 Introduction to Jam and His Journey 02:34 The Genesis of Parland and GPT-4 Influence 05:13 Challenges in Programming Language Design 07:59 Exploring Control in Generative AI Systems 10:39 Conversations and User Experience in AI 13:26 Building a Powerful Open Source Engine 14:57 Building Efficient AI Agents 15:53 Challenges in Complex AI Interactions 18:09 Managing AI Safety and Control 21:10 Key Learnings for AI Project Development 22:08 Understanding Uncertainty in AI Development 25:26 Addressing Hallucinations in AI Systems 27:24 Navigating the Learning Journey in AI Development
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The Importance of Data Sovereignty in AI Workflows with Giorgio Natili
08/16/2025
The Importance of Data Sovereignty in AI Workflows with Giorgio Natili
In this conversation, Giorgio Natili discusses the significance of confidential computing in the realm of AI workflows, emphasizing its role in ensuring data sovereignty and security. He explains how confidential computing can reshape AI usage, particularly in sensitive industries like finance and healthcare. The discussion also touches on the challenges organizations face regarding data privacy and the ethical implications of AI. Natili advocates for a balanced approach where AI complements human expertise rather than replacing it, and he highlights the importance of building secure and compliant AI systems. Sound Bites "Data sovereignty is crucial in AI workflows." "AI cannot replace human beings." "The expert in the room is the human being." Episode # 162 Today’s Guest: Giorgio Natili, Vice President and Head of Engineering at Opaque Systems Giorgio Natili is a tech leader, author, and advocate for fearless leadership. With over 20 years of experience, he has led teams at companies such as Amazon, Mozilla, and Capital One. LinkedIn: What Listeners Will Learn: Confidential computing enhances the security posture of systems. Data sovereignty is a critical concern for organizations using AI. Confidential computing allows for secure AI workflows without data leakage. The role of trusted execution environments is vital in protecting sensitive data. Organizations often face challenges with compliance and data privacy regulations. AI should complement human expertise, not replace it. Confidential computing can help organizations navigate complex regulatory landscapes. The importance of attestation in ensuring secure AI workflows. AI can be powerful when used ethically and responsibly. Industry applications for confidential computing include finance, healthcare, and legal sectors.
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The Impact of Generative AI on Education and Teaching Methods with Craig Mattson
08/09/2025
The Impact of Generative AI on Education and Teaching Methods with Craig Mattson
Join Kashif Manzoor as he welcomes Professor Craig Mattson to discuss the transformative role of generative AI in education. They explore how AI is reshaping teaching methods, the challenges educators face, and the opportunities for personalized learning. Differences in student experiences over the past decade The role of AI in modern classrooms Balancing skepticism and optimism towards AI in education The importance of process and metacognition in teaching Insights from Craig Mattson's book, "Digital Overwhelm" Session # 161 Guest: Professor Craig Mattson, researcher and educator at Calvin University, shares his insights on the evolving landscape of education and the workplace. Connect with Craig Mattson: Website: T: Weekly work culture insights Hashtags: #Education #AI #TeachingMethods #GenerativeAI Call to Action: Subscribe to OpenTechTalks.tv for more insightful discussions on technology and education.
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Building AI-driven Hedge Fund Infrastructure with Jakub Polec
08/02/2025
Building AI-driven Hedge Fund Infrastructure with Jakub Polec
In this conversation, Jakub shares his insights on the evolution of AI in finance, emphasizing the importance of specialized AI agents and the need for a robust infrastructure. He discusses his transition from corporate life to entrepreneurship, highlighting the challenges and rewards of building a startup. Jakub also offers practical advice on team dynamics, customer acquisition, and learning AI, stressing the significance of being customer-obsessed and the need for continuous learning and adaptation in the fast-paced tech landscape. Episode # 160 Today’s Guest: Jakub Polec, Head of Quant, AI/ML Research Manager for Systematic Strategies, Quant Journey He has over 23 years of experience in IT and finance, excelling in regional leadership roles at Oracle, Microsoft, France Telecom, T-Mobile, and in hedge funds. He combines a strong scientific background from the University of Warsaw and CERN with deep tech expertise. As an entrepreneur, he has successfully launched, scaled, and exited ventures in AI/ML, MLOps, NLP, and e-commerce. Website: Youtube: What Listeners Will Learn: AI in finance requires specialized agents for better results. Building a business around AI is more about organization than technology. Startup teams should balance experience with passion. Customer obsession is key to success in any business. Bootstrapping can lead to faster product development. Learning AI should be practical and application-focused. Engaging with the community can enhance learning. AI can automate many tasks traditionally done by humans. Effective leadership inspires and empowers teams. The landscape of technology is rapidly changing, making it easier to innovate. Resources:
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Mapping Your Generative AI Maturity From Aware to Transformative Part 2
07/26/2025
Mapping Your Generative AI Maturity From Aware to Transformative Part 2
Evaluating Your Generative AI Maturity From Aware to Transformative Part 2 The last three weeks' articles on the Generative AI adoption Maturity framework sparked discussion within the AI circle. Thank you for sharing your comments and feedback, and for sparking a few thought-provoking views on this topic. We have begun a journey to develop a Gen AI Maturity Model or framework as a joint effort with colleagues, friends, and leadership teams from several organizations. Earlier work: We will continue the journey this week, and part 2 covers the transition from Level 4 Integrated to Level 6 Transformative. Part 1: Session# 158 Part 2: Session# 159 Complete details are available over here:
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Mapping Your Generative AI Maturity From Aware to Transformative Part 1
05/08/2025
Mapping Your Generative AI Maturity From Aware to Transformative Part 1
Generative AI Adoption Maturity Model The last two weeks' articles on the Generative AI adoption Maturity framework sparked discussion within the AI circle. Thank you for sharing the comments and feedback, and even triggering a few thought-provoking views on this topic. We have started a journey to develop a Gen AI Maturity Model or framework as a joint effort with a few organizations' colleagues, friends, and leadership teams. Earlier work: This week, we will continue this journey: Generative AI Maturity Model Overview The model defines six sequential levels and six dimensions. The full article with the slide is available here:
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AI on the Rise from Global Investments, Real-world Impact to Performance Breakthroughs
04/13/2025
AI on the Rise from Global Investments, Real-world Impact to Performance Breakthroughs
Welcome to this edition of AI Tech Circle, brought to you by Open Tech Talks, your briefing on the latest developments in AI technology, strategic deployment, and measurable impact. This week’s focus is on key takeaways from , which is a comprehensive snapshot of the state of AI across investments, performance gains, enterprise integration, and national-level infrastructure initiatives. AI on the Rise: Global Momentum, Tangible Impact, and Breakthrough Performance The 2025 AI Index Report marks a clear inflection point in the AI timeline. With record-breaking capital inflows, widespread business adoption, and accelerating improvements in model capabilities, AI is no longer speculative. It’s operational. Costs are falling fast, governments are investing at scale, and productivity metrics are beginning to validate the economic promise. The era of “potential” has ended; the execution age is here. Read the full report at :
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Building and Growing an AI Startup with Sébastien Night
03/23/2025
Building and Growing an AI Startup with Sébastien Night
Welcome to Open Tech Talks. This episode features Sébastien Night, Co-Founder and CEO of OneTake AI. He has a strong background in entrepreneurship, having led the Free Entrepreneur Movement, which reached hundreds of thousands across 41 countries. Today, it focuses on building an AI product from scratch, validating the idea, managing development, handling challenges with LLMs, and navigating growth and marketing as a tech founder. This is a hands-on conversation for creating, scaling or optimizing AI-powered products. This episode gives a practical look at how to take an AI product from concept to scale. From validating the idea and building the core system to managing AI challenges and marketing the product effectively, the conversation offers real lessons that apply to any founder or builder. For more structured insights on AI, product growth, and tech leadership, stay tuned to Open Tech Talks. Episode # 156 Today’s Guest: Sébastien Night, Co-Founder, OneTake AI He is the CEO of One Take, and Before this, he founded the Free Entrepreneur Movement, which attracted close to 300,000 entrepreneurs in 41 countries. Website: What Listeners Will Learn: Product Idea Validation: Learn how to test a new product idea with early users and feedback loops before building at scale. Building an AI Product from Scratch: Understand the steps involved in developing a product with a strong AI foundation, from design to execution. Integrating AI into Products: Gain practical insights into how to add AI features to products in a structured and effective way. Challenges with LLM Integration: Learn about the challenges of using large language models, including technical constraints and performance reliability. Marketing as a Tech Founder: Understand the difficulties tech founders often face when managing product and marketing efforts simultaneously. Marketing Metrics and User Acquisition: Explore how marketing success is measured and how product teams track growth, subscriptions, and engagement over time. Resources:
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Generative AI Engagement Pyramid for growing AI Inference
03/17/2025
Generative AI Engagement Pyramid for growing AI Inference
Welcome to your weekly AI Newsletter from ! I'm building and implementing AI solutions and sharing everything I learn along the way... Check out the updates from this week! Please take a moment to share them with a friend or colleague who might benefit from these valuable insights! Today at a Glance: Increasing the adoption and effective use of AI and Generative AI technologies in various use cases or business processes Generative AI Use cases repository AI Weekly news and updates covering newly released LLMs Courses and events to attend How to Grow AI/Generative AI Inference? This week, I read about . This was my first time seeing it, and its source is '' Why did this get my attention? I am linking this to the situation of the Generative AI Landscape, which is going on in the market where we all started realizing sooner enough that whatever investment is Going on the AI Infrastructure is about what and how we will use it, and we need to have an AI Infrastructure in place to do the Inference. The full article read over here:
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Generative AI Risks and Governance: What Business Leaders Need to Know with Terry Ziemniak
01/21/2025
Generative AI Risks and Governance: What Business Leaders Need to Know with Terry Ziemniak
Welcome to Open Tech Talks, where we explore AI, cybersecurity, and the evolving role of technology in businesses. In this episode, we speak with Terry Ziemniak, a Fractional CISO and Partner at TechCXO, who has worked with companies across the healthcare, retail, manufacturing, and government sectors. The discussion covers cybersecurity risks, strategies for companies of all sizes, the challenges of adopting Generative AI, and governance frameworks for mitigating AI-related risks. Whether you’re a business leader, security professional, or AI enthusiast, this episode provides practical insights into managing security in today’s rapidly changing digital landscape. Before going further, let's understand what these Fractional Roles are: Fractional leadership is an emerging trend that allows companies to hire high-level expertise without committing to a full-time executive role. For example, Fractional CISOs provide the same security leadership as traditional CISOs. Still, they are part-time or project-based, making cybersecurity expertise accessible to businesses that may not have the budget for a full-time role. By following the best security and AI governance practices, organizations can protect themselves against threats while leveraging technology to drive growth. Episode # 154 Today’s Guest: Terry Zimnick, Fractional CISO, Terry Ziemniak is a Partner in TechCXO’s Product and Technology practice. He is a cybersecurity leader sought by boards, investors, and senior management teams to assist healthcare, service organizations, retail, and manufacturing companies—as well as government agencies and contractors—in his role as a fractional CISO. Website: Linkedin: What Listeners Will Learn: Understanding Fractional Roles in Cybersecurity: How businesses leverage fractional Chief Information Security Officers (CISOs) for cost-effective security leadership. Cybersecurity Landscape: Current threats, vulnerabilities, and trends shaping cybersecurity in different industries. Security Practices in Large vs. Small Companies: The challenges faced by small and medium-sized businesses (SMBs) in implementing cybersecurity measures compared to larger organizations. Challenges in Adopting Generative AI: Key obstacles companies face when integrating AI and large language models (LLMs) into their workflows. Generative AI Risk and Governance: The importance of AI governance frameworks and how businesses can structure policies to ensure compliance and security. Cybersecurity Strategies for SMBs: Practical steps for small businesses to strengthen security and mitigate risks without requiring large budgets. Resources:
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AI and Software Development: What Engineers Need to Know with Mayank Jindal
12/31/2024
AI and Software Development: What Engineers Need to Know with Mayank Jindal
Welcome to Open Tech Talks. In this episode, we’re speaking with Mayank Jindal, a Software Development Engineer, about AI's evolving landscape and its impact on software engineering. From AI use cases to challenges in model development, we cover strategies for aligning AI solutions with business needs, tips for staying updated in this fast-paced field, and career advice for aspiring developers. Whether new to AI or looking to refine your skills, this episode delivers insights you can apply immediately. Large language models (LLMs) are transforming software engineering by automating code generation, debugging, and testing. They enable developers to accelerate workflows but require engineers to upskill and adapt. While AI reduces repetitive tasks, developers need to focus on designing architectures, validating outputs, and ensuring AI-generated code meets quality standards. This episode has covered AI's evolving role, its impact on software engineering, and strategies for addressing challenges in AI development. Episode # 153 Today’s Guest: Mayank Jindal, Software Development Engineer, Amazon He is a Software Engineer passionate about leveraging Artificial Intelligence to enhance the digital world. Linkedin: What Listeners Will Learn: Understand how large language models (LLMs) influence software engineers' role and reshape development workflows. Explore common challenges faced in AI development, including data quality, scalability, and performance optimization. Discover strategies for keeping up with the rapid advancements in AI and machine learning technologies. Gain practical tips for newcomers looking to start or grow their AI and software development careers. Learn methods for translating business requirements into effective AI and machine learning models and tips for overcoming common obstacles. Learn about real-world AI applications that are transforming industries and solving complex problems with AI Resources:
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2024 Wrapping up a Year of Shared Learning and Growth in AI
12/29/2024
2024 Wrapping up a Year of Shared Learning and Growth in AI
Welcome to your weekly AI Newsletter from ! I'm Building, Implementing AI solutions, and sharing everything I learn along the way... This week is a recap of 2024 with some of the key insights and the tools and recipes I have used or learned over the year with you as an AI community. Please take a moment to read and share this with a friend or colleague who might benefit from these valuable insights! Today at a Glance: How to start your journey of AI & Generative AI project implementations in your organization Generative AI Use Cases AI ethics and Governance AI Courses to attend Open Tech Talks with AI industry leaders Full Shownotes are available:
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AI Tech Circle - Lets build AI Governance Framework for an organization
12/01/2024
AI Tech Circle - Lets build AI Governance Framework for an organization
Dive into this week’s updates, and take a moment to share them with a friend or colleague who could gain from these valuable insights! Today at a Glance: AI Governance Framework AI Weekly news and updates covering newly released LLMs AI Governance Framework in Action A few months back, I had a chance to work with an organization. Their key question was, what should we be doing to ensure AI governance is in place? We had a long discussion on the AI Governance areas, starting with regulations and what any organization should be doing. I thought of expanding this topic and imagining myself as someone responsible for creating AI governance for an organization. What should I be following? So here are my steps and the artifacts for creating an AI Governance Framework or guidelines for a Model organization. I have shared these with them, and after a few sittings and conversations, an early version was ready to baseline as AI Governance Framework. I am sharing the initial work as, in reality, it was improved a lot. As a First Step: Before you start reading below, I strongly suggest you read these earlier editions: Now, it's best to start below: AI Governance Framework Creation: All the details are on this link:
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Tips for Adopting AI and LLMs in Business: Lessons from Michael Vandi
11/27/2024
Tips for Adopting AI and LLMs in Business: Lessons from Michael Vandi
Welcome to Open Tech Talks, the podcast exploring the intersection of AI and business transformation. In this episode, we speak with the CEO of Addy AI, a cutting-edge solution that is reshaping loan processing and banking automation. The discussion covers everything from integrating AI with traditional banking tools to practical advice for implementing large language models (LLMs) in products and businesses. Plus, we'll share lessons learned from challenges faced along the way and insights for aspiring AI professionals. Loan processing has long been a time-consuming and error-prone task. Addy AI has redefined this process, automating key steps and reducing turnaround times. This transformation enables banks to process applications faster, improving customer experience while maintaining accuracy. Before using AI-driven tools like Addy AI, traditional methods often relied heavily on manual input and outdated workflows, significantly slowing down operations. Episode # 150 Today’s Guest: Michael Vandi, CEO, Addy AI Michael worked as CEO of Addy AI Website: Twitter/X: What Listeners Will Learn: Discover how AI applications like Addy AI revolutionize loan processing, making it faster and more efficient than traditional methods. Understand how AI solutions like Addy AI seamlessly fit into banks' existing tools and systems. Learn about the architecture of AI-powered solutions, providing a practical perspective on how they operate within real-world business environments. Gain insights into how AI agents enhance automation, decision-making, and efficiency. Receive actionable tips for leveraging large language models (LLMs) in business or product development. Explore a beginner-friendly framework for organizations looking to start their AI journey effectively. Learn about the common challenges encountered while working with LLMs and how to address them. Get advice on what skills and attributes stand out when hiring for AI-related roles. Hear about a valuable learning experience from a business challenge and how it shaped future strategies. Resources:
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AI Tech Circle - Diaries from the Field, Building Ethically Responsible AI Enterprise Solution
11/24/2024
AI Tech Circle - Diaries from the Field, Building Ethically Responsible AI Enterprise Solution
Welcome to your weekly AI Newsletter from ! This newsletter has become an essential resource for me and many others in the AI community. It has practical insights that will immediately boost your work or business. Dive into this week’s updates, and take a moment to share them with a friend or colleague who could gain from these valuable insights! Today at a Glance: Behind the Scenes of writing this newsletter Insights from the Field: Creating Ethical AI Solutions for Enterprises Generative AI Use cases in the Health Care Industry AI Weekly news and updates covering newly released LLMs Courses and events to attend To Read the full episode over here: Read all the Edition of
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Strategic AI Adoption for Businesses with Nick Jain
10/29/2024
Strategic AI Adoption for Businesses with Nick Jain
In today's episode, we're tackling some of the most pressing topics in tech and business transformation, including strategies for AI integration, the evolving role of generative AI, and best practices for navigating ethical considerations in AI adoption. Joining us is the CEO of IdeaScale, a leader in innovation management who brings valuable insights into how AI can shape organizations' futures. In today's competitive landscape, companies must go beyond just adopting new technologies; they need a structured, goal-driven approach. From automating processes to offering actionable insights through data, AI can enable growth and scalability. Generative AI has quickly become one of the most influential technologies of the decade, but executives often need help with where to begin. Building an AI strategy for C-level decision-makers means identifying suitable applications for generative models and considering the long-term effects on the organization. Company's learning is critical here, as generative AI can amplify value or risk, depending on how it is implemented. Tune in to future episodes of Open Tech Talks for more discussions on AI Episode # 148 Today’s Guest: Nick Jain, CEO, Idea Scale Website: What Listeners Will Learn: Learn how IdeaScale transformed and adapted with new strategies, technologies, and leadership approaches to enhance innovation and operational success. Discover how AI has supported and influenced business functions, from optimizing workflows to enhancing data-driven decision-making. Gain expert recommendations on navigating the challenges and opportunities of Generative AI, including best practices for high-level decision-making. Understand key ethical and privacy considerations for responsibly implementing AI within any organization. Get insights on effectively introducing Generative AI use cases, aligning them with business goals, and overcoming implementation challenges. Learn about the productivity gains and efficiency improvements realized by integrating code generation with LLMs in development workflows. Find out how to effectively validate product ideas and new features with a structured approach to meet market needs. Gain practical tips for effectively marketing a startup or new product on a limited budget, focusing on maximizing impact. Learn strategies for recruiting and managing talent, fostering a team that aligns with organizational goals and culture. Hear proven strategies for identifying and discarding unhelpful or misleading business recommendations, maintaining focus on effective practices. Discover actionable steps for building leadership skills, from personal development practices to lessons learned from experience. Understand the techniques for navigating strategic management responsibilities and hands-on product development tasks. Resources:
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How organizations can start the journey of AI with Mark Wormgoor
10/21/2024
How organizations can start the journey of AI with Mark Wormgoor
This episode dives into how organizations can effectively harness AI to transform operations. We explore practical steps for starting an AI journey, discuss emerging use cases, and offer guidance on talent readiness. Whether you’re an executive leading AI initiatives or a professional looking to understand the evolving AI landscape, this episode provides valuable insights. AI implementation in organizations often begins with identifying specific pain points where AI can make a measurable impact. Starting small with focused projects allows companies to integrate AI tools into existing processes, ensuring smoother transitions and quicker results. This approach minimizes disruption while enabling scalability as the AI solution proves its value. A structured framework is essential for organizations starting their AI journey. It begins with assessing readiness, identifying areas with the highest potential for impact, and building a small-scale proof of concept. From there, scaling up based on early successes ensures a more sustainable and confident approach to AI adoption. This systematic method enables organizations to achieve quick wins while laying a solid foundation for long-term growth. Adopting AI does not require overhauling existing systems. Integrating AI into the current ecosystem can be done by leveraging cloud platforms, APIs, and other tools, allowing AI solutions to complement rather than replace existing technologies. This approach helps to minimize friction and optimize the value derived from AI implementations. This episode offers a detailed look into the practical aspects of AI implementation, providing actionable strategies for organizations to integrate AI into their processes. It covers everything from starting the journey to ensuring talent readiness and managing end-to-end operations. For more insights on AI and the latest tech trends, stay tuned to Open Tech Talks. Episode # 147 Today’s Guest: Mark Wormgoor, Founder/CEO, Tairi In 2022, after 25+ years in technology in the corporate world, Mark decided to start Tairi. Tairi originates from his passion for leadership in tech. Website: Linkedin: What Listeners Will Learn: Understand practical strategies for integrating AI into various business functions, from small-scale projects to enterprise-wide initiatives. Learn about a structured framework for organizations to kickstart their AI transformation, ensuring they avoid common pitfalls. Discover the most impactful AI applications in diverse industries, helping businesses stay ahead of the competition. Gain actionable tips for adopting AI solutions that fit seamlessly into current processes and tools. Explore the current landscape of AI skills and how companies can assess and upskill their teams for success. Look inside the critical skills and attributes a CTO seeks when building a strong AI team. Learn practical advice for handling multiple business functions while leveraging AI to streamline efforts. Resources:
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Mastering Communication in the AI Era with expert Tips from TJ Walker
09/29/2024
Mastering Communication in the AI Era with expert Tips from TJ Walker
In this week's Open Tech Talks, we had the pleasure of speaking with TJ Walker, the founder of Media Training Worldwide. With over 2 million students on Udemy and over 200 courses under his belt, He is a global expert in presentation techniques, media training, and communication skills. As the author of six books, including the USA Today #1 Bestseller "Secret to Foolproof Presentations," TJ shares his vast experience on how to elevate your communication skills—whether you're making media appearances, giving a presentation, or simply explaining complex ideas to a business audience. We started the conversation with TJ by exploring the rise of AI cloning - replicating one's expertise through AI-powered digital clones. Imagine having an AI version of yourself that can share your knowledge, answer questions, and provide personalized learning to millions, just like TJ's courses. The benefits of AI clones are immense, especially for professionals looking to scale their knowledge and impact globally without being physically present. Episode # 146 Today’s Guest: TJ Walker, Founder, Media Training Worldwide TJ Walker’s commanding digital presence is marked by over 2 million students on Udemy across more than 200 courses. He is the author of 6 books, including the USA Today #1 Bestseller “Secret to Foolproof Presentations” and “Media Training A to Z. Website: Youtube: What Listeners Will Learn: AI Cloning and Expertise Sharing: Learn how AI clones revolutionize how experts share their knowledge and scale their impact. Before and After AI: Explore how adopting AI changes everything, from preparing for presentations to managing daily tasks in a business environment. Translating Tech Jargon for Business Users: Spekaer shares practical tips on breaking down complex technology concepts into language that business users can easily understand. Improving Your Presentation Techniques: He will give you actionable advice on how to make your next presentation more impactful, concise, and engaging. Learning Outcomes from Media Training Courses: Understand the key takeaways students gain from TJ's media training courses and how they apply them in real-world scenarios. Overcoming Fear in Media Appearances: Learn TJ's top strategies for overcoming fear of media appearances and public speaking and how to build confidence on camera. Resources:
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