Data Driven

Епизоди

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  How Compliance Became Cool: Richa Kaul on Security, Privacy, and AI 21.09.2026 45мин

  Welcome back to "Data Driven," the podcast where we explore the cutting edge of data science, AI, and the rapidly evolving world of data governance.In this episode, we sit down with Richa Kaul, founder and CEO of Complyance, an AI-driven platform transforming governance, risk, and compliance for enterprises. Drawing on her experience as a data privacy enthusiast and leader in the compliance space, Richa Kaul dives into the pressing challenges of securing sensitive data, the complexities of global compliance frameworks, and how AI both complicates and protects our interconnected world.We discuss the pivotal role of the Chief Information Security Officer, the importance of proactive, layered security measures, and why compliance is rapidly gaining attention—not just as a regulatory checkbox, but as a central business strategy. With practical advice for both enterprises and individuals on maintaining digital privacy and security, this episode is essential listening for anyone navigating today’s high-stakes data landscape.LinksRicha on LinkedIn -https://www.linkedin.com/in/richa-kaul/Complyance Web site -https://www.complyance.com/Complyance on LinkedIn -https://linkedin.com/company/complyancehq/Watch on YouTube -https://www.youtube.com/watch?v=CFsUcm5u4MYTimestamped overview00:00 Privacy and security frameworks overview03:54 Impact of Equifax data breach06:21 Focusing on data security09:58 Managing complex enterprise security controls15:53 Focus on AI and information security18:37 Learning from Fire Safety Education20:47 Phone security in modern cyber warfare24:48 Concerns about IoT device security29:10 Protecting Privacy from Algorithms30:44 Security and privacy concerns35:23 GTA's social commentary on privacy39:11 AI's Role in Cybersecurity Awareness41:03 Global connectivity and surveillance issues44:47 Ending on a positive note
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  Why Business Knowledge Beats Tool Complexity in the AI Era 16.09.2026 54мин

  Welcome back to Data Driven, the podcast where we dive deep into the evolving worlds of data science, business intelligence, and artificial intelligence. In this episode, host Frank La Vigne sits down with Rob Collie, CEO of P3 Adaptive and a former Microsoft engineer, to explore the remarkable journey from Excel’s foundational role in data-driven workplaces to the transformative power of Power BI—and now, to the unfolding impact of AI in business.Rob shares captivating stories from his time on the Excel and Power BI teams at Microsoft, offering insider perspectives on how these tools revolutionized the way organizations work with data. Together, Frank and Rob discuss the critical role of expert stewardship in products like Excel, the complexity hidden beneath familiar interfaces, and the challenges traditional BI faced before the rise of more accessible, user-centric solutions.The conversation then turns to the cutting edge, unpacking what generative AI and large language models mean for the future of data, and why business intelligence might just be the best starting point for companies aiming to embrace AI. Whether you’re a data engineer, AI enthusiast, or business leader, this episode is packed with insights on how mastering data remains the foundation for all technological progress. Join us as we look backward and forward at what it really means to be data driven.LinksRob on LinkedIn -https://www.linkedin.com/in/robcollie/Fair Game: Customizing AI to Your Business Is Easier Than You Think -https://link.amazon/B0bgySLKyGet a free Audiobook on Us -https://www.audible.com/ep/creator?afsrc=1&source_code=PDTGBPD060314004RTime Stamps00:00 Interview with Rob Collie06:38 Managing Excel's core development team08:28 Learning Excel's Complexity12:15 Discovering Power BI at Microsoft15:12 Understanding and using SSAS MDX formula20:23 Making Power BI user-friendly23:29 AI exceeding expectations for crafters26:21 Founding and evolving P3 company28:05 AI model advancements and business impact32:34 LLM memory limitations35:11 Integrating AI into consulting business40:21 Challenges with training AI chatbots41:24 Understanding AI without going deep46:56 AI improves business intelligence48:34 AI enhancing business intelligence51:53 Why LLMs succeed where CPUs fail54:29 Core skills in tech evolution
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  Bridging AI and Human Intelligence – Multicolor Lasers and the Future of Photonic Computing 15.09.2026 54мин

  Welcome to another episode of Impact Quantum, where we explore the cutting edge of quantum computing and emerging technologies reshaping our world.Today, co-hosts Frank La Vigne and Candace Gillhoolley sit down with Vivek Raghunathan, co-founder of Xscape Photonics, to delve into the revolutionary intersection of photonics, artificial intelligence, and quantum computing. From comparing the astounding power efficiency of the human brain to today's AI clusters, to discussing how multicolor lasers could unlock massive advancements in data center performance and sustainability, Vivek shares how his company is tackling the growing power demands of AI by reimagining the future of hardware.We’ll hear why the traditional focus on faster processors is giving way to a new era where the speed and efficiency of inter-chip communication—powered by light, not electricity—becomes the key to smarter, greener computing.Tune in as we decode the transformation of data center architecture, explore the practical and philosophical implications of merging photonics and electronics, and peek into how today’s innovations lay the foundation for tomorrow’s quantum breakthroughs.Whether you’re a seasoned technologist or just quantum-curious, this is a conversation you won’t want to miss!LinksVivek on LinkedIn -https://www.linkedin.com/in/vivek-raghunathan-8228913a/XScape Photonics -https://www.xscapephotonics.com/Watch on YouTube -https://youtu.be/NcXWZyPuyqETime Stamps00:00 Discussing Montreal weather transition05:04 AI efficiency and power use10:14 Advancing data transfer on copper wires11:31 Copper vs. fiber optics limits17:13 Optical cables replacing copper wires20:36 Quantum computing and comb lasers24:32 Integrating electronics and photonics27:40 AI efficiency and energy consumption31:54 Photonics on 12-inch wafers33:39 Analog computation basics37:50 Transition to photonic computing42:24 Data center strategy discussions45:32 NVIDIA's holistic system design approach47:05 High-bandwidth cluster discussion51:31 Reducing data center power consumption53:42 Candace and Frank on podcasts
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  Digital Trust in Practice: Compliance, AI, and Human Factors with Sandeep Pauddar 08.09.2026 47мин

  In this episode, Frank La Vigne sits down with Sandeep Pauddar, Head of Digital Trust at DQS, to explore the fast-evolving world of digital trust, compliance, and data security. From the growing complexities of global regulations, to the increasing intersection of AI, cybersecurity, and enterprise risk, Sandeep Pauddar shares real-world stories—including personal experiences with AI-driven phishing—and breaks down how organizations can foster a security-aware culture. Whether you're leading a startup or a global enterprise, tune in for actionable insights on building digital trust, navigating the compliance landscape, and why organizational leadership plays a crucial role in keeping data secure.LinksSandeep on LinkedIn -https://www.linkedin.com/in/sandeep-pauddar/DQS Global -https://www.dqsglobal.com/Extreme Ownership -https://amzn.to/4zZRiH8Get a Free Audible Book -https://www.audible.com/ep/creator?afsrc=1&source_code=PDTGBPD060314004RWatch on YouTube -https://www.youtube.com/watch?v=dF4D5hYM7YwTime Stamps00:00 Introduction and guest welcome05:00 AI data security in various industries06:44 Department collaboration on AI and compliance10:58 Information security standards overview14:23 Balancing Innovation and Standardization18:14 Navigating global AI regulations22:14 Regulatory advice for startup founders25:33 Discussing common patterns in failures28:24 Discussing link metadata in apps33:09 Security threats and personal story37:11 Challenges in adopting security systems38:32 Insurance and breach response policies43:21 Promoting Extreme Ownership on Audible45:01 Finding more about Claude Academy
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  AI Adoption in Power Plants and Beyond – Trends, Challenges, and ROI Insights 01.09.2026 59мин

  Welcome back to another episode of Data Driven! This time, hosts Andy Leonard and Frank La Vigne sit down with Jim Spignardo, Director of Cloud Strategy and AI Enablement at ProArch, to explore the transformative role of AI and data engineering in critical industries. From the challenges of bringing modern AI solutions into traditional sectors like power generation and manufacturing, to the real-world impact of tools like Copilot, this episode dives deep into automation, return on investment, and the importance of outcome-driven technology adoption.Along the way, Jim Spignardo shares hands-on stories and key lessons learned, such as how modernization happens gradually in high-stakes environments, and why ROI modeling and project management are crucial to successful innovation. Whether you’re curious about Azure AI Foundry or the future of workplace automation, this is an episode packed with practical insights and tales from the cutting edge of AI implementation.LinksJim on LinkedIn -https://www.linkedin.com/in/spignardo/Watch on YouTube -https://youtu.be/XBDpsi4f0YYTime Stamps00:00 ROI Journey with Copilot04:57 Building with Azure AI Foundry08:23 Implementing AI for Power Plants12:22 Discussing 19.2K networks in power plants14:00 Ensuring data security in devices17:59 Cloud integration for IT operations23:30 Discussing RPO, RTO, and ROI modeling24:48 Switching from hobbyist to manufacturing30:15 Introducing our AI platform Vector34:34 AI Spend and ROI Dashboard36:47 Improving meeting notes integration40:48 AI in Manufacturing for Troubleshooting45:41 Managing AI Tool Adoption47:51 Tracking ROI and user intensity52:03 Consulting firms spotting product chances55:17 Increasing delivery speed with AI56:55 Automating the house routine
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  Building Trust in AI – Lawrence Snap on Hallucination Detection and the Future of TrustScale 27.08.2026 53мин

  In this episode, hosts Frank La Vigne and Andy Leonard sit down with Lawrence Snapp, CEO and board member of TrustScale, an innovative AI trust and verification platform. Together, they explore the crucial topic of trust in artificial intelligence—how hallucinations from AI models can spiral out of control and why it’s essential to catch them early. Lawrence Snapp pulls back the curtain on TrustScale’s journey from early AI and translation work in the 1980s and call center solutions, to its modern-day mission: empowering humans to verify and trust AI outputs with products like Argus. You’ll hear about real-world impacts in fields like healthcare, legal, and research, learn how TrustScale’s deterministic engine outpaces humans in hallucination detection, and dive into debates around truth, trustworthiness, and the future of configuring AI values. Whether you’re an industry veteran or just curious about how we build trustworthy AI, this episode is packed with insights on technology, responsibility, and the power of rigorous engineering.LinksWatch on YouTube -https://www.youtube.com/watch?v=RjM7lxn3Qk8Lawrence on LinkedIn -https://www.linkedin.com/in/lawrence-snapp-408339/Time Stamps00:00 Funny AI-generated story03:37 Company's Evolution from Translation to AI07:32 Developing the TrustScale engine11:35 Using AI for collaboration13:39 Building a trust scoring system18:12 Working at BASF and AI testing19:32 New developments in voice assistants23:41 Trust scale and company confidence26:13 AI mishap in medical drama32:48 Overcoming AI recency and cost challenges36:54 AI's impact on career growth38:50 Interviewing and developing talent43:31 Starting with Polaroids and AI goals46:54 Discussing TrustScale and AI interactions50:42 Empowering AI customization for users51:45 AI ethics discussion in Los Altos
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  Numeracy, Probability, and Business – Embracing Randomness for Better Decisions 18.08.2026 50мин

  In this episode, host Andy Leonard sits down with Ilan Man, founder and CEO of Paradox Machines, a full-stack data and AI company based in Brooklyn. Ilan shares his fascinating journey from an actuarial career to the dynamic field of data science, exploring the rise of big data, the art of translating complex mathematics into code, and the importance of numeracy in society. Together, they discuss the paradoxes at the heart of data and AI, the challenges of decision-making under uncertainty, and why intuition, risk management, and storytelling remain critical in a world driven by data. Whether you're a data enthusiast, decision-maker, or just curious about how numbers shape our lives, this conversation delivers valuable insights and a healthy dose of skepticism about the limits, and possibilities, of analytics.Linkshttps://www.linkedin.com/in/ilanman/Time Stamps00:00 Starting a career in data science03:34 Discovering a career in actuarial science08:17 Learning coding and joining Squarespace11:40 Understanding Probability in Code15:36 Questioning Confidence in Decision-Making20:06 Discussing COVID vaccine effectiveness21:09 Understanding vaccine effectiveness24:41 Consumers interacting with unpredictable AI29:35 Discussing disease perception and interpretation33:01 Casino audiobook and extra details35:41 Balancing data-driven decisions40:07 Career journey to founding Paradox40:49 Building a data platform with AI46:41 Data's Role in Decision Making47:30 Value and limits of data-driven decisions
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  Tackling Data Engineering Challenges with Autonomous AI Agents 28.07.2026 43мин

  In this episode, Frank La Vigne sits down with Pradnesh Patil, co-founder and CEO of Altima AI, to explore how AI is revolutionizing the world of data engineering. Together, they dive into the challenges of modern data stacks, the explosion of tools and technologies, and how AI-powered agents are transforming the way data teams build and maintain complex systems. From automating data pipeline management to optimizing infrastructure and safeguarding governance, Pradnesh Patil shares insights on the next wave of data engineering and what the future holds for professionals in the field. Whether you’re a veteran data engineer or a student curious about the evolving landscape, this episode offers practical advice, industry trends, and an optimistic look at how embracing AI can supercharge your career and your organization’s capabilities.LinksPradnesh's LinkedIn - https://www.linkedin.com/in/pradneshpatil/Watch on YouTube -https://youtu.be/vxQrjE-U3gwTime Stamps00:00 Evolution of data technology tools04:11 Managing tool stack complexity09:09 Discussion on AI guardrails and future10:55 Managing MCB server outputs14:32 Streamlining Data Pipeline Efficiency18:48 Managing and Deleting Memories21:12 AI security and virtual employees27:16 AI transforming jobs and automation30:43 Impact of AI on IT Industry32:32 Upgrading legacy systems with AI37:10 Importance of Data Engineering39:10 Changing role of data managers42:45 Home lab challenges and data management
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  Unlocking Enterprise Knowledge – AI, Document Comprehension, and the Future of RAG 20.07.2026 49мин

  In this episode, hosts Candace Gillhoolley and Frank La Vigne are joined by Neil Katz, Chief Product Officer at Valantor AI—a four-time Emmy winner whose unconventional journey spans from technology startups to award-winning journalism, and now to the forefront of enterprise AI innovation.Neil shares his unique perspective on the evolution of AI, from the early days of digital design and machine learning, to building large-scale AI and document intelligence platforms for major organizations. The conversation explores the critical challenges of knowledge extraction, document comprehension, and securing sensitive data in today's era of sovereign AI. Together, they uncover the hidden complexities behind Retrieval-Augmented Generation (RAG), discuss the importance of hybrid search strategies, and reflect on where the field is heading as enterprise needs push the boundaries of what AI can do.Whether you're a data professional, an AI enthusiast, or just curious about how language models are transforming how we understand information, you won’t want to miss this candid and thought-provoking deep dive into the future of AI and data integrity.LinksNeil on LinkedIn -https://www.linkedin.com/in/neilkatz/Watch on YouTube -https://www.youtube.com/watch?v=qf8qifz_RL8Time Stamps00:00 Early career in tech and journalism04:01 Early consumer AI experiences06:49 Early AI and machine learning developments11:43 Anthropic's new findings on AI models16:15 Data sovereignty in AI systems19:27 Implementing open source AI models22:49 Breaking down documents for models25:45 Understanding the RAG system process28:47 Challenges in AI data processing31:22 Challenges in RAG with Insurance Data36:35 Understanding and managing data security39:35 Early days with OpenAI GPT40:48 Explaining vector and similarity search46:57 The evolution of computing models47:29 Computing evolution to cloud and edge
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  Demystifying State in AI: Smarter Reasoning and Real-World Legal Applications 13.07.2026 45мин

  In this episode, Frank sits down with Devansh Devansh, founder and head of AI at Iris, whose journey spans from building a thriving tech community of over 10,000 on Substack to developing advanced legal AI tools that revolutionize how lawyers work through complex reasoning. The conversation explores Devansh Devanche's unconventional path into AI, his experiences navigating the evolving landscape of machine learning, and the unique challenges of creating transparent, trustworthy agentic systems in legal tech. Along the way, we uncover the story behind his distinctive "chocolate milk cult leader" branding, his philosophy on startup building, and why he believes that innovation in AI is more accessible than it may seem. Whether you’re a technologist, a lawyer, or just curious about the future of AI, this is an episode packed with insight, optimism, and actionable advice.LinksDevansh on LinkedIn -https://www.linkedin.com/in/devansh-devansh-516004168/Devansh on SubStack -https://substack.com/@chocolatemilkcultleaderTime Stamps00:00 Transitioning to Substack and AI Journey05:32 Starting to publish research insights07:37 Connecting with Senior Leaders13:27 Issues with Legal AI Systems16:55 Challenges with current AI systems19:49 Demand for AI in legal and non-legal sectors23:29 Challenges with AI system state management24:51 Compounding AI returns over time30:50 Meeting the CEO of Iris34:20 Tailoring Startup Strategy to Strengths36:26 Insights on Cluli's Market Presence40:27 Opportunities in AI Innovation42:57 Reflecting on market evolutions
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  How Data and AI Are Revolutionizing Philanthropy for Nonprofits and Donors 30.06.2026 43мин

  In this episode, the conversation focused on the intersection of data intelligence, artificial intelligence, and philanthropy. A key theme that emerged was the growing importance of data-driven decision making in the nonprofit sector, which, despite representing 5% of the GDP and employing 10% of the American workforce, has lagged behind other industries in the adoption of technology and data practices.The discussion explored how organizations like Impala are aiming to transform the philanthropic landscape by providing robust data platforms and AI-driven tools to empower both large foundations and small nonprofits. Several points were raised, including the unique challenges philanthropy faces in measuring impact versus the traditional business focus on ROI, the rise of a new generation of data-savvy philanthropists, and how collaborative giving and customized data solutions are shaping a more transparent, effective, and innovative sector.Tune in as we examine how technology is not just changing the way give, but also who gives, why, and with what outcome—pushing philanthropy into a new age powered by actionable insights and human connection.LinksImpala -https://impala.digital/Time Stamps00:00 Importance of Data and Relationships03:59 Joining Impala through philanthropy09:00 Measuring organizational impact12:15 Engaging younger donors with data14:38 Impala's role in education analysis20:24 Empowering small nonprofits with AI22:50 Impala's AI platform strategy25:07 Improving investment decisions with AI28:25 Integrating AI with Data Platforms32:01 Using AI in philanthropic decisions34:58 Discussing collaborative giving trends39:28 Supporting small businesses with tech42:35 Appreciation and social impact goals
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  Why ‘Data-Driven Decisions’ Are a Myth 23.06.2026 28мин

  This week, we dive deep into the world of data, decision-making, and uncertainty with Dale Nesbitt, a lecturer at Stanford and principal at Arrowhead Economics. Drawing on his unique upbringing in a mining town, Dale Nesbitt shares how witnessing raw data collection firsthand shaped his perspective on what it really takes to make informed decisions—hint: it's not just about having more data.Together, we explore the pitfalls of relying solely on data for critical choices, the importance of understanding probability and risk, and why data-gathering itself is often a noisy and imperfect process. From commodity pricing and speculation in oil markets to the real-world impact of data-driven decisions in healthcare, Dale Nesbitt reveals why true analytic power comes from combining rigorous analysis, sound judgment, and the right kind of data—not just more of it.Join us as we challenge myths around "data-driven" decisions, unpack lessons from COVID-era data science, and discover why wisdom of the crowd, probability, and a healthy respect for uncertainty are key to navigating our data-rich world.LinksDale's LinkedIn profile -https://www.linkedin.com/in/dale-nesbitt-b574a83a/Watch on YouTube -https://www.youtube.com/watch?v=USOKgv1avHoTime Stamps00:00 Growing up in a mining town05:44 Data as the New Crude Oil07:31 Estimating and Understanding Stochastic Processes12:49 Impact of Strait of Hormuz Closure14:19 Challenges of AI in Economics17:05 Betting on events and elections21:43 Bayesian analysis and hydroxychloroquine data23:28 Understanding data and judgment26:38 Analyzing data for better decisions
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  Bulletproof KDE and Why Linux is Winning Over Developers 15.06.2026 58мин

  On this episode of Data Driven, hosts Frank La Vigne and Candace Gillhoolley are joined by hardware and open source expert Michael Makowski to discuss the shifting landscape of developer workstations and AI hardware. As Windows usage declines among developers and AI engineers, Linux is experiencing a surge in desktop adoption. Michael takes us inside the latest efforts to make Linux not just accessible, but enterprise-grade—sharing how his team is driving advancements in stability, reliability, and user experience for validated Linux hardware.We talk about the dramatic improvements in Linux desktop support, the importance of privacy and avoiding surveillance-driven proprietary systems, and the game-changing features coming to market—like automated system rollback and curated app installs. Plus, we explore the current state of gaming on Linux, the technical edge unified memory brings to AI development, and why companies are increasingly opting for supported, Linux-based workstations. Whether you’re Linux-curious, rethinking your hardware choices, or just passionate about the future of developer tools and data engineering, this conversation will equip you for what’s next.LinksMike's Company Website -https://kfocus.org/Mike's LinkedIn Profile -https://www.linkedin.com/in/michael-mikowski-7601393/Watch this show on YouTube -https://youtu.be/E03EObEa2lQTime Stamps00:00 Website security concerns and solutions05:03 Supporting KDE for long-term stability09:45 Desktop environment compatibility issues10:46 Conflicts in desktop environments15:07 AMD vs Intel & Nvidia Performance18:58 Showing the production site23:49 Steam's Linux runtime environment25:43 Running Windows games on Linux29:47 Concerns about software privacy issues33:31 Migrating from Windows challenges37:48 Setting up machine learning hardware41:31 Resolving system issues efficiently42:59 Setting up a VPN correctly47:40 Running VMs on alternative OS52:49 Upcoming OS Upgrade Details56:19 Rigorous testing and development process57:25 Tuning BTRFS for performance
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  Connectivity and Trust in Agentic AI -Overcoming Distributed Challenges with Band 08.06.2026 44мин

  In this episode of Data Driven, we're diving into the rapidly evolving world of agentic AI—where autonomous AI agents collaborate, communicate, and occasionally collide. Our guest, Vlad Luzin, co-founder and CTO of Band, joins us to explore the technical challenges and real-world implications of building collaboration layers for agents that act like distributed, non-deterministic microservices. We’ll unpack the myths and realities surrounding orchestration, governance, and security, and discuss how enterprises can operationalize these agent ecosystems safely. Tune in as we share lessons learned, amusing engineering mishaps, and get a glimpse of what the future holds as agents become everyday colleagues in the digital enterprise.LinksVlad's LinkedIn Profile -https://www.linkedin.com/in/luzin/Watch this episode on YouTube -https://youtu.be/MZztFagEX_EBand Website -https://www.band.ai/Band Docs -https://docs.band.ai/Time Stamps00:00 Explaining orchestration in tech03:42 Understanding models and harnesses09:38 Misconceptions about A2A communication10:41 Understanding multi-agent systems16:18 Observability for distributed systems18:54 Agent communication and collaboration24:28 Unauthorized agent interactions25:49 Remote agent collaboration ideas28:54 How foundational AI models communicate33:20 Agent communication protocols overview35:39 Discussing tech standards and AI velocity40:53 Learning to Work with AI Agents42:41 Using Band AI tools
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  Wrangling a Thousand AI Agents: Control, Auditability, and Emergency Shutdowns 05.06.2026 47мин

  Imagine waking up to find a thousand AI agents silently making decisions across your company—and no one knows exactly what they're accessing.In this episode of Data Driven, hosts Frank La Vigne and Andy Leonard sit down with Ron Longo, CEO of Trustlogix, to explore the evolving landscape of AI governance, security, and data engineering. As enterprises race to integrate AI at unprecedented speed, the noise and confusion have never been greater. Ron Longo unveils the concept of the AI control plane with a "kill switch," discusses the real-world challenges of securing both human and non-human agents, and explains why classic best practices—like least privilege and prompt engineering—are more important than ever in an era where machines operate at breakneck pace.Join us as we dive into how Trustlogix keeps enterprise data safe, why innovation must balance with protection, and what it takes to build systems resilient enough for the next wave of AI-driven change. Whether you’re a data engineer, business leader, or just AI-curious, this episode brings practical insights and lively stories from the front lines of AI governance.LinksRon's LinkedIn profile -https://www.linkedin.com/in/ronlongo/TrustLogix Web site -https://www.trustlogix.ai/TheDingo -https://www.thedingo.ai/Time Stamps00:00 Managing data security threats05:08 Developing the kill switch concept07:20 Enforcing least privilege access12:43 AI communication challenges and best practices15:40 Revoking agents and data access19:25 AI kill switch for security22:00 Managing data access with control plane25:59 Applying AI to complex environments29:45 Discussing data engineering basics32:16 Language experts' unique advantage33:49 Creating an app with Claude AI37:09 Balancing AI and security in enterprises43:43 AI's impact on job roles44:51 Learning from Air Force RFP
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  Why Data Driven Cultures Succeed and Technology Alone Falls Short 01.06.2026 1ч

  As we launch season 10, your favorite semi-sentient British AI co-host returns to the microphone alongside Frank La Vigne for a compelling exploration of what it truly means to be a data-driven organization. In this episode, Frank sits down with Sebastian Wernicke, author of "Data Inspired" and renowned expert in data and AI strategy, to discuss why turning data into action remains a formidable challenge for so many organizations.Together, they dive into the enduring gap between data insights and meaningful change, the crucial role of leaders in fostering cultures of evidence and inquiry, and why technology alone won’t move the needle without the buy-in—and sometimes the irrationality—of humans. From the evolution of data culture and the pitfalls of management by numbers, to the psychological barriers that lead to "data frustration," this episode offers a candid, nuanced look at the real obstacles standing in the way of better decisions.LinksSebastian Wernicke on LinkedIn - https://www.linkedin.com/in/wernicke/Watch this episode on YouTube - https://youtu.be/2qP4p0YKxI8Data Inspired (affiliate link) - https://amzn.to/4xkCuBVTime Stamps
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  Navigating the Wild West of AI in Finance: Policies, Pitfalls, and Opportunities 28.05.2026 46мин

  In this episode, we dive into the rapidly evolving world of AI in the financial sector. Frank La Vigne and Candace Gillhoolley are joined by Daniel Yoo, founder and CEO of Finmate AI, a company at the forefront of custom agentic AI solutions for financial advisors. Together, they explore how artificial intelligence is transforming internal operations for advisors, the surprising openness of the finance industry to new data practices, and the commodification of once elite services thanks to advanced automation. The conversation also unpacks industry challenges, from regulatory hurdles to the shifting pipeline of talent in both engineering and finance. Whether you're interested in the technical underpinnings of agentic AI, policy changes in fintech, or the broader societal implications of AI-driven automation, this episode is packed with insights for data and finance professionals alike.LinksDaniel on LinkedIn -https://www.linkedin.com/in/smyoo/FinMate's Websitehttps://finmate.ai/Watch this episode on YouTube -https://youtu.be/NV5zOiOXhI0Time Stamps00:00 Industry's response to data policies03:28 The closure of White's Ferry09:14 Improving AI for form filling11:19 Releasing new Notetaker features14:49 Different approaches to technology integration18:33 Comparing tool to movie exo suit23:04 Human capital in financial industry24:34 AI assisting financial advisors28:58 AI automating podcast tasks30:20 Challenges in AI development costs35:15 Son opting out of computer class39:47 Early computing and gaming memories41:03 Convincing parents about computer science44:10 Finding Finmate AI online
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  Token Economy and AI Agents: The Final Hurdles in Enterprise Deployment 15.05.2026 42мин

  In this episode, Frank La Vigne sits down with his Red Hat colleague Christopher Newland for a deep dive into the evolving challenges and opportunities at the intersection of AI, open source, and enterprise technology.Fresh off attending both IBM Think and Red Hat Summit, Christopher Newland shares insights from two very different industry perspectives—executive strategy and hands-on engineering. Together, they explore the elusive “last mile” problem in AI adoption, the rise of agentic systems, the critical role of harnesses and runtimes, and why memory management is becoming the next frontier.Plus, they discuss the practical realities and future potential of tools like OpenShift AI, IBM Bob, and open source alternatives. Whether you’re a developer grappling with implementation details or a leader focused on ROI, this episode has something for everyone navigating today’s fast-changing AI landscape.LinksChristopher on LinkedIn -https://www.linkedin.com/in/cjnuland/Watch this episode on YouTube -https://www.youtube.com/watch?v=xlkPPt5YeY0Time Stamps00:00 Comparing IBM Exec and Red Hat Conferences05:24 Challenges in AI implementation06:56 Challenges in scaling microservices11:38 Integrating AI with project management14:23 Debate on AI model vs. harness16:54 Discussing model evolution and limitations22:54 Affordable Power BI Courses Bundle25:19 Separating and managing runtimes27:02 Using semantic routing for requests30:15 Agent memory and compression basics36:02 New AI approach and vision38:49 Developing a multi-agent system40:40 Importance of data chunking
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  The Neuroresilient Leader: Staying Human in the Age of Artificial Intelligence 04.05.2026 56мин

  In this episode, hosts Frank La Vigne and Candace Gillhoolley sit down with Angus Nelson—author, podcaster, and expert on leadership and human potential in the age of AI. Together, they dive deep into the rapidly changing landscape of technology and work, exploring how relentless market volatility, AI advancements, and global complexity are putting unprecedented stress on individuals and organizations alike.Angus Nelson shares insights from his book, "Neuro Resilient Leader: The Internal Operating System for Leading at the Speed of Change," challenging the notion that grinding harder is the key to success. Instead, he argues that true leadership today demands clarity, capacity, and composure—and that our biggest challenges are rooted not in strategy or data, but in our internal operating systems and mindset.Tune in as they unpack the myths of grind culture, the critical importance of mental well-being in the digital era, and practical ways to protect and elevate our collective "brain capital." Whether you're a leader, an independent contributor, or simply navigating a chaotic world, this episode offers hope, inspiration, and actionable advice on how to stay human—and thrive—in an increasingly automated world.LinksAngus' LinkedIn Profile -https://www.linkedin.com/in/angusnelson/Angus' Website -https://angusnelson.comAngus' Coaching Website-https://neuroresilientleader.comGet the Book Free -https://freebook.vipGet the paperbook on Amazon -https://amzn.to/4w1uHIfTime Stamps00:00 Challenges of adapting to AI changes07:15 Finding internal clarity and value09:54 Influences on self-belief13:38 Impact of technology on brain health16:07 AI and creativity debate20:03 Changing nature of creativity and work22:30 AI's role in company differentiation25:24 Embracing a new lifestyle29:02 Facing self-doubt on success path31:22 Embracing change and transformation35:34 Overcoming self-imposed limitations41:08 Identity shift realization42:30 Energetic exchange and authenticity48:14 Living abroad during COVID49:05 Download free book PDF54:38 Finding your inner power55:32 Thanking Frank and Candice
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  Governance, Architecture, and the Evolving Role of Data Engineers in the AI Age 27.04.2026 49мин

  In this week’s show, Frank La Vigne sits down with data and analytics engineer Wasim Rana for a deep dive into the realities of building, managing, and securing data infrastructure in modern businesses.Together, they explore the critical challenge of preventing data lakes from turning into data swamps, the practical pipeline from raw to curated data—including the increasingly popular bronze, silver, and gold layering approach—and the vital role of governance in today’s data-heavy world. Waseem Rana shares insights from his hands-on experience with AWS, Snowflake, and transforming messy datasets into actionable business intelligence.The conversation also takes a look at the evolving landscape of data engineering amid AI advancements, what skills data professionals need to stay ahead, and how future architectures may blend data lakes, warehouses, and vector databases for AI-driven analytics. Whether you’re a data engineer, business leader, or just curious about the future of data, this is an episode you won’t want to miss!LinksWasim's LinkedIn -https://www.linkedin.com/in/iamwasimrana/Wasim's GitHub -https://github.com/wasimranacseWatch on YouTube -https://youtu.be/8oGEEN6BubkPodcast Episode Mentioned:The AI Driven Leader: Rethinking Strategy, Decision Making, and Personal Growth -https://datadriven.tv/episodes/the-ai-driven-leader-rethinking-strategy-decision-making-and-personal-growth/Book mentioned:The AI-Driven Leader: Harnessing AI to Make Faster, Smarter DecisionsHardcover -https://amzn.to/4crqshxKindle -https://amzn.to/4u8rVPSAudiobook -https://amzn.to/3Qqsc1XTime Stamp00:00 Working as a data engineer03:22 Using AWS for infrastructure06:31 Transforming raw data for use11:14 Discussing data sources and ingestion15:51 Discussing data analysis with AI models16:33 The future of data analytics21:58 Importance of data governance24:44 Evolution of data storage solutions29:34 AI's impact on data jobs31:20 Understanding data architecture importance35:49 Understanding AI creativity and context37:14 Understanding AI's lack of context40:43 Difficulty finding meaningful connections45:14 Using storytelling to drive change47:44 Connecting pipelines to WooCommerce