Data Driven

In this episode of Data Driven, Frank La Vigne talks with Richard Luna, CEO of Protected Harbor, about why security built around keeping attackers outside a network leaves organizations exposed once someone gets in. Richard explains his concern that AI-driven attacks will probe multiple weaknesses at once, and makes the case for layered defenses, network segmentation, and infrastructure designed around the applications it supports.

The conversation moves from security architecture to the people and processes that make systems dependable. Richard shares how his team plans for failures, works across technical silos, and tests vendor claims before putting equipment into production. Frank and Richard also explore the promise of AI-assisted coding, the experience junior developers need to build, and the expensive gap between a successful demo and software that holds up under real demand.

From a storage cluster that failed on its second day of testing to a deployment that collapsed under load, the episode offers practical lessons in building durable systems and teams that take responsibility for them.

• Design beyond the perimeter. Richard argues for barriers and tripwires inside the environment, with attention to how data moves between systems.

• Build around application needs. Storage performance, traffic separation, redundancy, and failure recovery should reflect the actual workload.

• Break down technical silos. Developers and infrastructure teams need each other’s knowledge to diagnose problems and implement security effectively.

• Keep human judgment in AI-assisted development. Generated code and automated tests still need experienced review and realistic load testing.

• Make accountability specific. Divide responsibilities clearly, give engineers a path to ask for help, and involve clients when they own a blocker.

• Test before trusting. Vendor assurances and a working demo do not establish how a system will behave in production.

Richard Luna is the CEO of Protected Harbor. His career has spanned software development, managed services, hosting, DevOps, and SaaS infrastructure engineering. In this conversation, he brings that experience to the design, operation, and security of systems that businesses depend on.

• Richard on LinkedIn:https://www.linkedin.com/in/richardluna/
• Protected Harbor:https://www.protectedharbor.com/
• Watch on YouTube -https://youtu.be/y6ZHVmJtf9o

00:00 Why the 1980s security model falls short

01:21 Introducing Richard Luna

02:32 What SaaS infrastructure engineering means

03:53 AI threats, perimeter defenses, and information silos

05:44 Building barriers and tripwires

07:17 Application-aware infrastructure

10:27 Phased change and lessons from Toyota

11:22 Rebuilding infrastructure around the workload

13:37 Collaboration, zero trust, and asking for help

15:35 Data flow, security, and finding the root cause

18:19 Listening to clients and earning long-term trust

20:08 AI-assisted coding and the next generation of developers

21:17 Why generated tests are not enough

25:17 DevOps experience and “works on my machine”

26:58 Learning from the loss of a customer

29:02 Dividing responsibilities without losing accountability

31:56 Oversight meetings that remove obstacles

33:34 Empowering clients and engineers

35:42 Respect, culture, and learning across teams

38:06 Building a business by solving clients’ problems

42:01 Planning for failure instead of fighting fires

43:01 Stress-testing enterprise storage

47:01 A deployment failure and the cost of skipping tests

48:32 Cloud scaling and runaway costs

49:48 Closing thoughts and connecting with Richard

Subscribe to Data Driven for more conversations about data science, AI, data engineering, and the people building the systems behind them.

In this episode of Data Driven, host Frank La Vigne sits down with Andy Pruett, co-founder and CEO of Lumiscent, to explore a topic often overlooked in the industrial sector: it’s not a data problem—it’s a decision problem.

Andy explains how industrial companies are drowning in sensor data, but struggle to transform that information into actionable decisions that minimize physical asset risk. The conversation dives into how AI-powered decision intelligence can illuminate hidden vulnerabilities, contextualize risk in real-time, and empower industries like mining, manufacturing, and energy to make smarter, faster calls on the shop floor.

From the challenges of aging infrastructure to the growing retirement wave of experienced engineers, this episode reveals how the right blend of technology and expertise is shaping a new era of operational resilience and risk management.

• Andy on LinkedIn -https://www.linkedin.com/in/andypruett/
• Watch on YouTube -https://www.youtube.com/watch?v=qzpVpgoO5KA
• Lumicent -https://www.lumicent.com/
• Blog Post -https://www.franksworld.com/2026/09/28/navigating-the-data-tsunami-from-iot-sensors-to-smarter-decisions-in-industrial-operations/

00:00 Focusing on asset risk management

03:56 Managing food plant risks

07:48 Managing information in heavy industries

11:45 Workforce challenges and knowledge loss

16:00 Transforming data into decisions

18:46 Predictive maintenance challenges in plants

22:14 Adoption urgency and house analogy

27:32 Collaborating with Risk Engineers

29:16 Understanding insurance risk strategies

32:31 Insurance industry changes and parametrics

36:46 Managing risk in operations

40:03 Challenges with predictive analytics in cars

43:02 Getting into engineering from Alaska

45:37 Handling a power outage crisis

49:01 Wrapping up and contact info

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.

• Richa 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=CFsUcm5u4MY

00:00 Privacy and security frameworks overview

03:54 Impact of Equifax data breach

06:21 Focusing on data security

09:58 Managing complex enterprise security controls

15:53 Focus on AI and information security

18:37 Learning from Fire Safety Education

20:47 Phone security in modern cyber warfare

24:48 Concerns about IoT device security

29:10 Protecting Privacy from Algorithms

30:44 Security and privacy concerns

35:23 GTA's social commentary on privacy

39:11 AI's Role in Cybersecurity Awareness

41:03 Global connectivity and surveillance issues

44:47 Ending on a positive note

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.

• Rob on LinkedIn -https://www.linkedin.com/in/robcollie/
• Fair Game: Customizing AI to Your Business Is Easier Than You Think -https://link.amazon/B0bgySLKy
• Get a free Audiobook on Us -https://www.audible.com/ep/creator?afsrc=1&source_code=PDTGBPD060314004R

00:00 Interview with Rob Collie

06:38 Managing Excel's core development team

08:28 Learning Excel's Complexity

12:15 Discovering Power BI at Microsoft

15:12 Understanding and using SSAS MDX formula

20:23 Making Power BI user-friendly

23:29 AI exceeding expectations for crafters

26:21 Founding and evolving P3 company

28:05 AI model advancements and business impact

32:34 LLM memory limitations

35:11 Integrating AI into consulting business

40:21 Challenges with training AI chatbots

41:24 Understanding AI without going deep

46:56 AI improves business intelligence

48:34 AI enhancing business intelligence

51:53 Why LLMs succeed where CPUs fail

54:29 Core skills in tech evolution

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!

• Vivek on LinkedIn -https://www.linkedin.com/in/vivek-raghunathan-8228913a/
• XScape Photonics -https://www.xscapephotonics.com/
• Watch on YouTube -https://youtu.be/NcXWZyPuyqE

00:00 Discussing Montreal weather transition

05:04 AI efficiency and power use

10:14 Advancing data transfer on copper wires

11:31 Copper vs. fiber optics limits

17:13 Optical cables replacing copper wires

20:36 Quantum computing and comb lasers

24:32 Integrating electronics and photonics

27:40 AI efficiency and energy consumption

31:54 Photonics on 12-inch wafers

33:39 Analog computation basics

37:50 Transition to photonic computing

42:24 Data center strategy discussions

45:32 NVIDIA's holistic system design approach

47:05 High-bandwidth cluster discussion

51:31 Reducing data center power consumption

53:42 Candace and Frank on podcasts

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.

• Sandeep on LinkedIn -https://www.linkedin.com/in/sandeep-pauddar/
• DQS Global -https://www.dqsglobal.com/
• Extreme Ownership -https://amzn.to/4zZRiH8
• Get a Free Audible Book -https://www.audible.com/ep/creator?afsrc=1&source_code=PDTGBPD060314004R
• Watch on YouTube -https://www.youtube.com/watch?v=dF4D5hYM7Yw

00:00 Introduction and guest welcome

05:00 AI data security in various industries

06:44 Department collaboration on AI and compliance

10:58 Information security standards overview

14:23 Balancing Innovation and Standardization

18:14 Navigating global AI regulations

22:14 Regulatory advice for startup founders

25:33 Discussing common patterns in failures

28:24 Discussing link metadata in apps

33:09 Security threats and personal story

37:11 Challenges in adopting security systems

38:32 Insurance and breach response policies

43:21 Promoting Extreme Ownership on Audible

45:01 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.

• Jim on LinkedIn -https://www.linkedin.com/in/spignardo/
• Watch on YouTube -https://youtu.be/XBDpsi4f0YY

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

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.

• Watch on YouTube -https://www.youtube.com/watch?v=RjM7lxn3Qk8
• Lawrence on LinkedIn -https://www.linkedin.com/in/lawrence-snapp-408339/

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

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.

• https://www.linkedin.com/in/ilanman/

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

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.

• Pradnesh's LinkedIn - https://www.linkedin.com/in/pradneshpatil/
• Watch on YouTube -https://youtu.be/vxQrjE-U3gw

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