Digital Trust in Practice: Compliance, AI, and Human Factors with Sandeep Pauddar

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

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

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

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

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

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

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

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

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

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