Data Driven

AI Adoption in Power Plants and Beyond – Trends, Challenges, and ROI Insights

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. Links Jim on LinkedIn -https://www.linkedin.com/in/spignardo/ Watch on YouTube -https://youtu.be/XBDpsi4f0YY Time Stamps 00:00 ROI Journey with Copilot 04:57 Building with Azure AI Foundry 08:23 Implementing AI for Power Plants 12:22 Discussing 19.2K networks in power plants 14:00 Ensuring data security in devices 17:59 Cloud integration for IT operations 23:30 Discussing RPO, RTO, and ROI modeling 24:48 Switching from hobbyist to manufacturing 30:15 Introducing our AI platform Vector 34:34 AI Spend and ROI Dashboard 36:47 Improving meeting notes integration 40:48 AI in Manufacturing for Troubleshooting 45:41 Managing AI Tool Adoption 47:51 Tracking ROI and user intensity 52:03 Consulting firms spotting product chances 55:17 Increasing delivery speed with AI 56:55 Automating the house routine

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Building Trust in AI – Lawrence Snap on Hallucination Detection and the Future of TrustScale

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. Links Watch on YouTube -https://www.youtube.com/watch?v=RjM7lxn3Qk8 Lawrence on LinkedIn -https://www.linkedin.com/in/lawrence-snapp-408339/ Time Stamps 00:00 Funny AI-generated story 03:37 Company's Evolution from Translation to AI 07:32 Developing the TrustScale engine 11:35 Using AI for collaboration 13:39 Building a trust scoring system 18:12 Working at BASF and AI testing 19:32 New developments in voice assistants 23:41 Trust scale and company confidence 26:13 AI mishap in medical drama 32:48 Overcoming AI recency and cost challenges 36:54 AI's impact on career growth 38:50 Interviewing and developing talent 43:31 Starting with Polaroids and AI goals 46:54 Discussing TrustScale and AI interactions 50:42 Empowering AI customization for users 51:45 AI ethics discussion in Los Altos

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Numeracy, Probability, and Business – Embracing Randomness for Better Decisions

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. Links https://www.linkedin.com/in/ilanman/ Time Stamps 00:00 Starting a career in data science 03:34 Discovering a career in actuarial science 08:17 Learning coding and joining Squarespace 11:40 Understanding Probability in Code 15:36 Questioning Confidence in Decision-Making 20:06 Discussing COVID vaccine effectiveness 21:09 Understanding vaccine effectiveness 24:41 Consumers interacting with unpredictable AI 29:35 Discussing disease perception and interpretation 33:01 Casino audiobook and extra details 35:41 Balancing data-driven decisions 40:07 Career journey to founding Paradox 40:49 Building a data platform with AI 46:41 Data's Role in Decision Making 47:30 Value and limits of data-driven decisions

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Tackling Data Engineering Challenges with Autonomous AI Agents

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. Links Pradnesh's LinkedIn - https://www.linkedin.com/in/pradneshpatil/ Watch on YouTube -https://youtu.be/vxQrjE-U3gw Time Stamps 00:00 Evolution of data technology tools 04:11 Managing tool stack complexity 09:09 Discussion on AI guardrails and future 10:55 Managing MCB server outputs 14:32 Streamlining Data Pipeline Efficiency 18:48 Managing and Deleting Memories 21:12 AI security and virtual employees 27:16 AI transforming jobs and automation 30:43 Impact of AI on IT Industry 32:32 Upgrading legacy systems with AI 37:10 Importance of Data Engineering 39:10 Changing role of data managers 42:45 Home lab challenges and data management

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Unlocking Enterprise Knowledge – AI, Document Comprehension, and the Future of RAG

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. Links Neil on LinkedIn -https://www.linkedin.com/in/neilkatz/ Watch on YouTube -https://www.youtube.com/watch?v=qf8qifz_RL8 Time Stamps 00:00 Early career in tech and journalism 04:01 Early consumer AI experiences 06:49 Early AI and machine learning developments 11:43 Anthropic's new findings on AI models 16:15 Data sovereignty in AI systems 19:27 Implementing open source AI models 22:49 Breaking down documents for models 25:45 Understanding the RAG system process 28:47 Challenges in AI data processing 31:22 Challenges in RAG with Insurance Data 36:35 Understanding and managing data security 39:35 Early days with OpenAI GPT 40:48 Explaining vector and similarity search 46:57 The evolution of computing models 47:29 Computing evolution to cloud and edge

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Demystifying State in AI: Smarter Reasoning and Real-World Legal Applications

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. Links Devansh on LinkedIn -https://www.linkedin.com/in/devansh-devansh-516004168/ Devansh on SubStack -https://substack.com/@chocolatemilkcultleader Time Stamps 00:00 Transitioning to Substack and AI Journey 05:32 Starting to publish research insights 07:37 Connecting with Senior Leaders 13:27 Issues with Legal AI Systems 16:55 Challenges with current AI systems 19:49 Demand for AI in legal and non-legal sectors 23:29 Challenges with AI system state management 24:51 Compounding AI returns over time 30:50 Meeting the CEO of Iris 34:20 Tailoring Startup Strategy to Strengths 36:26 Insights on Cluli's Market Presence 40:27 Opportunities in AI Innovation 42:57 Reflecting on market evolutions

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How Data and AI Are Revolutionizing Philanthropy for Nonprofits and Donors

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. Links Impala -https://impala.digital/ Time Stamps 00:00 Importance of Data and Relationships 03:59 Joining Impala through philanthropy 09:00 Measuring organizational impact 12:15 Engaging younger donors with data 14:38 Impala's role in education analysis 20:24 Empowering small nonprofits with AI 22:50 Impala's AI platform strategy 25:07 Improving investment decisions with AI 28:25 Integrating AI with Data Platforms 32:01 Using AI in philanthropic decisions 34:58 Discussing collaborative giving trends 39:28 Supporting small businesses with tech 42:35 Appreciation and social impact goals

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Why ‘Data-Driven Decisions’ Are a Myth

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. Links Dale's LinkedIn profile -https://www.linkedin.com/in/dale-nesbitt-b574a83a/ Watch on YouTube -https://www.youtube.com/watch?v=USOKgv1avHo Time Stamps 00:00 Growing up in a mining town 05:44 Data as the New Crude Oil 07:31 Estimating and Understanding Stochastic Processes 12:49 Impact of Strait of Hormuz Closure 14:19 Challenges of AI in Economics 17:05 Betting on events and elections 21:43 Bayesian analysis and hydroxychloroquine data 23:28 Understanding data and judgment 26:38 Analyzing data for better decisions

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Bulletproof KDE and Why Linux is Winning Over Developers

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. Links Mike'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/E03EObEa2lQ Time Stamps 00:00 Website security concerns and solutions 05:03 Supporting KDE for long-term stability 09:45 Desktop environment compatibility issues 10:46 Conflicts in desktop environments 15:07 AMD vs Intel & Nvidia Performance 18:58 Showing the production site 23:49 Steam's Linux runtime environment 25:43 Running Windows games on Linux 29:47 Concerns about software privacy issues 33:31 Migrating from Windows challenges 37:48 Setting up machine learning hardware 41:31 Resolving system issues efficiently 42:59 Setting up a VPN correctly 47:40 Running VMs on alternative OS 52:49 Upcoming OS Upgrade Details 56:19 Rigorous testing and development process 57:25 Tuning BTRFS for performance

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Connectivity and Trust in Agentic AI -Overcoming Distributed Challenges with Band

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. Links Vlad's LinkedIn Profile -https://www.linkedin.com/in/luzin/ Watch this episode on YouTube -https://youtu.be/MZztFagEX_E Band Website -https://www.band.ai/ Band Docs -https://docs.band.ai/ Time Stamps 00:00 Explaining orchestration in tech 03:42 Understanding models and harnesses 09:38 Misconceptions about A2A communication 10:41 Understanding multi-agent systems 16:18 Observability for distributed systems 18:54 Agent communication and collaboration 24:28 Unauthorized agent interactions 25:49 Remote agent collaboration ideas 28:54 How foundational AI models communicate 33:20 Agent communication protocols overview 35:39 Discussing tech standards and AI velocity 40:53 Learning to Work with AI Agents 42:41 Using Band AI tools

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Wrangling a Thousand AI Agents: Control, Auditability, and Emergency Shutdowns

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. Links Ron's LinkedIn profile -https://www.linkedin.com/in/ronlongo/ TrustLogix Web site -https://www.trustlogix.ai/ TheDingo -https://www.thedingo.ai/ Time Stamps 00:00 Managing data security threats 05:08 Developing the kill switch concept 07:20 Enforcing least privilege access 12:43 AI communication challenges and best practices 15:40 Revoking agents and data access 19:25 AI kill switch for security 22:00 Managing data access with control plane 25:59 Applying AI to complex environments 29:45 Discussing data engineering basics 32:16 Language experts' unique advantage 33:49 Creating an app with Claude AI 37:09 Balancing AI and security in enterprises 43:43 AI's impact on job roles 44:51 Learning from Air Force RFP

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Why Data Driven Cultures Succeed and Technology Alone Falls Short

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. Links Sebastian Wernicke on LinkedIn - https://www.linkedin.com/in/wernicke/ Watch this episode on YouTube - https://youtu.be/2qP4p0YKxI8 Data Inspired (affiliate link) - https://amzn.to/4xkCuBV Time Stamps

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Navigating the Wild West of AI in Finance: Policies, Pitfalls, and Opportunities

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. Links Daniel on LinkedIn -https://www.linkedin.com/in/smyoo/ FinMate's Websitehttps://finmate.ai/ Watch this episode on YouTube -https://youtu.be/NV5zOiOXhI0 Time Stamps 00:00 Industry's response to data policies 03:28 The closure of White's Ferry 09:14 Improving AI for form filling 11:19 Releasing new Notetaker features 14:49 Different approaches to technology integration 18:33 Comparing tool to movie exo suit 23:04 Human capital in financial industry 24:34 AI assisting financial advisors 28:58 AI automating podcast tasks 30:20 Challenges in AI development costs 35:15 Son opting out of computer class 39:47 Early computing and gaming memories 41:03 Convincing parents about computer science 44:10 Finding Finmate AI online

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Token Economy and AI Agents: The Final Hurdles in Enterprise Deployment

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. Links Christopher on LinkedIn -https://www.linkedin.com/in/cjnuland/ Watch this episode on YouTube -https://www.youtube.com/watch?v=xlkPPt5YeY0 Time Stamps 00:00 Comparing IBM Exec and Red Hat Conferences 05:24 Challenges in AI implementation 06:56 Challenges in scaling microservices 11:38 Integrating AI with project management 14:23 Debate on AI model vs. harness 16:54 Discussing model evolution and limitations 22:54 Affordable Power BI Courses Bundle 25:19 Separating and managing runtimes 27:02 Using semantic routing for requests 30:15 Agent memory and compression basics 36:02 New AI approach and vision 38:49 Developing a multi-agent system 40:40 Importance of data chunking

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The Neuroresilient Leader: Staying Human in the Age of Artificial Intelligence

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. Links Angus' LinkedIn Profile -https://www.linkedin.com/in/angusnelson/ Angus' Website -https://angusnelson.com Angus' Coaching Website-https://neuroresilientleader.com Get the Book Free -https://freebook.vip Get the paperbook on Amazon -https://amzn.to/4w1uHIf Time Stamps 00:00 Challenges of adapting to AI changes 07:15 Finding internal clarity and value 09:54 Influences on self-belief 13:38 Impact of technology on brain health 16:07 AI and creativity debate 20:03 Changing nature of creativity and work 22:30 AI's role in company differentiation 25:24 Embracing a new lifestyle 29:02 Facing self-doubt on success path 31:22 Embracing change and transformation 35:34 Overcoming self-imposed limitations 41:08 Identity shift realization 42:30 Energetic exchange and authenticity 48:14 Living abroad during COVID 49:05 Download free book PDF 54:38 Finding your inner power 55:32 Thanking Frank and Candice

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Governance, Architecture, and the Evolving Role of Data Engineers in the AI Age

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! Links Wasim's LinkedIn -https://www.linkedin.com/in/iamwasimrana/ Wasim's GitHub -https://github.com/wasimranacse Watch on YouTube -https://youtu.be/8oGEEN6Bubk Podcast 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 Decisions Hardcover -https://amzn.to/4crqshx Kindle -https://amzn.to/4u8rVPS Audiobook -https://amzn.to/3Qqsc1X Time Stamp 00:00 Working as a data engineer 03:22 Using AWS for infrastructure 06:31 Transforming raw data for use 11:14 Discussing data sources and ingestion 15:51 Discussing data analysis with AI models 16:33 The future of data analytics 21:58 Importance of data governance 24:44 Evolution of data storage solutions 29:34 AI's impact on data jobs 31:20 Understanding data architecture importance 35:49 Understanding AI creativity and context 37:14 Understanding AI's lack of context 40:43 Difficulty finding meaningful connections 45:14 Using storytelling to drive change 47:44 Connecting pipelines to WooCommerce

Alternative Data and Its Impact on Modern Investing

Today, we journey into the fast-evolving world of prediction markets, KPI trading, and the new frontiers of retail finance. Joining us is Candace, alongside our guest from Benzinga, a fintech innovator working to democratize financial data once reserved for Wall Street elites. We delve into how platforms like Benzinga are leveling the playing field, making actionable market information accessible for everyone—from individual retail investors to advanced quant traders. Get ready as we unpack the rise of alternative data, the intersection of finance and AI, and whether prediction markets are the next big tool in forecasting—or just another signal to question in an increasingly complex landscape. Strap in for insights on regulation, market dynamics, and the sometimes wild personalities driving innovation in finance today! Links Andrew's LinkedIn -https://www.linkedin.com/in/lebbosandrew/ Benzinga -https://www.benzinga.com/ Benzinga APIS -https://www.benzinga.com/apis/ Watch on YouTube -https://youtu.be/xY6mIRP1L2c Time Stamps 00:00 Starting Benzinga to democratize info 03:22 Building financial data services 08:10 Growth through niche news coverage 12:57 Hedging with company performance 15:00 Early quant experiences at Merrill Lynch 20:07 Explaining Polymarket betting mechanics 23:34 Discussing market prediction tools 26:39 CFTC regulations on trading limits 28:04 Discussing crowdsourcing and wisdom 34:14 Exploring unique data sources 35:35 Discussing the vinyl resurgence 41:40 Finding an edge in investing 43:42 Wondering about the future of betting 47:42 Brokerage purchase options explained 50:20 Building ideas with AI tools

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Andy Boettcher on Why This is the Age of the Chaotic Brain

this episode, Frank sits down with Andy Boettcher, the Chief Innovation Officer at DoubleTrack, for a candid conversation about embracing the power (and chaos!) of modern AI tools. Together, they dive into how neurodiversity and "chaotic brains" are thriving in this new era, where ideas can be rapidly tested, refined, and built with the aid of tools like Claude code. From the practical realities of using AI for software development and troubleshooting (even in classic cars and household appliances) to the shifting landscape of business innovation, they discuss the opportunities and challenges facing individuals and companies alike. You'll hear first-hand stories about building podcast production tools, leveraging AI agents as virtual team members, the importance of critical thinking in an age of instant information, and why data security and adaptability are more crucial than ever. Whether you're a technologist, business leader, or simply curious about what it means to innovate today, this episode promises insight, humor, and a healthy dose of chaos. Let's get data driven. Links Andy's LinkedIn -https://www.linkedin.com/in/andyboettcher/ ShowDog -https://www.showdog.studio/ Time Stamps 00:00 What a Chief Innovation Officer does 06:18 The age of chaotic creativity 09:56 Using AI for planning discussions 11:31 Choosing the name Show Dog 15:22 Brainstorming and organizing ideas 18:43 Using tech for learning 20:47 Companies adopting AI strategies 25:10 Classic car ownership struggles 28:41 Taking time to rethink plans 31:34 Using AI to solve problems 37:25 Challenges in commercializing academic concepts 39:18 Adapting to evolving AI technology 43:36 AI tools and problem-solving in coding 45:23 Limitations of AI and data security 47:33 Data security and CRM setup 51:22 Challenging assumptions and blind spots

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Synthetic Populations and the Future of Decision Intelligence

In this episode of Data Driven, Frank and Andy dive into the future of market intelligence with Dr. Jill Axline, co-founder and CEO of Mavera—a company building synthetic populations that simulate real human behaviour, cognition, and emotion. Forget Personas. We're talking real-time, AI-driven behavioural modeling that's more predictive than your horoscope and considerably more data-backed. Dr. Axline shares how Mavera’s swarm of AI models situates these synthetic humans within real-world business contexts to forecast decisions, measure emotional resonance, and even test marketing messages before they go live. From governance and model drift to the surprising uses in financial services, political campaigns, and speechwriting—this is one of the most forward-looking conversations we’ve had yet. If you've ever wanted a deeper understanding of how AI can augment decision-making—or just want to hear Frank admit asset managers love ice cream—this one’s for you. Links Learn more about Mavera:https://mavera.io Connect with Jill Axline on LinkedIn:https://linkedin.com/in/jillaxline Morningstar:https://www.morningstar.com Time Stamps 00:00 - Introduction & AI Swarms Explained 03:30 - Forget Personas: Contextual AI Models 07:00 - Evidence vs Inference & AI Governance 10:20 - Simulation Scenarios & Model Drift 14:30 - Synthetic Audiences in Action 18:00 - Evidence Feedback Loops & Small Data Challenges 22:00 - Industry Applications & Use Cases 27:00 - Analyzing Speeches & Emotional Resonance 30:45 - Sentiment, Social Listening, and Real-Time News Reactions 34:00 - Adversarial Models & Strategic Pushback 38:00 - The Cartoon Bank Portal That Failed Spectacularly 41:00 - From Skeptic to CEO: Jill’s Journey 45:00 - Data Privacy, Compliance & Synthetic Ethics 48:00 - Reflections on Empathy, Engineers, and Selling Without Selling Support the Show If you enjoy Data Driven, leave us a review on Apple Podcasts or your favourite pod platform. It helps more people find the show—and fuels Frank’s Monster Energy habit.

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Microsoft Fabric Unpacked: AI, Data Sovereignty, and a Bit of Clippy Nostalgia

In today’s show, BAILeY, your semi-sentient hostess with the mostest metadata, teams up with Frank La Vigne to welcome the ever-insightful Andrew Brust for a deep dive into the evolving Microsoft data ecosystem. From nostalgic tales of Windows history and scoring elusive Clippy swag at Ignite, to unraveling what makes Microsoft Fabric a game-changer for data integration, AI, and governance, this episode covers it all. You’ll hear firsthand how Microsoft’s innovation goes far beyond the tech itself—focusing on seamless integration, unified billing, and organizational synergy. Andrew Brust sheds light on the journey from fragmented Azure services to the unified vision of Fabric, the rise of generative AI and “agentic” intelligence, and the increasingly important role of data sovereignty and governance in today’s regulatory landscape. Whether you’re a data enthusiast, an AI tinkerer, or just in it for the nostalgia, grab your headphones and get ready for insights, laughs, and more acronyms than you can shake a dataset at. Stay curious and caffeinated—this episode has something for everyone! Time Stamps 00:00 Microsoft Expertise and Industry Analysis 03:18 "Big Data and Analytics Insights" 08:31 Power BI's Rise in Azure 12:26 "Unified Fabric-Based Data Platform" 14:01 "Fabric IQ Powers AI Integration" 17:24 "Achieving Synergy Against Odds" 23:32 "Unified Compute for Seamless Integration" 24:41 "Overwhelmed by AWS Complexity" 28:21 "Microsoft Research Powers Azure Fabric" 34:20 "Azure Foundry and Tools" 37:33 "Flexibility Beyond Major Cloud Providers" 41:33 Global Data Privacy Trends 45:13 "Governance for Agentic AI" 47:29 "Azure Stack and Local Clouds" 50:13 "Kubernetes: The Cloud Caveat" 53:40 "Let's Reconnect and Reminisce"

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