The Real Risks of LLMs – Guardrails, Judgment, and the Human Element in Cybersecurity
In this episode of Data Driven, hosts Frank La Vigne, Candace Gillhoolley, and BAILeY sit down with Mike Armistead, CEO of Pulse Security AI—a cybersecurity veteran who’s been fortifying digital defenses since before AI made headlines and hackers had professional profiles. Together, they dig into the dual-edged sword that is artificial intelligence in cybersecurity, exploring…
Why Simulating Reality Is the Key to Advancing Artificial Intelligence
In this episode, we’re joined once again by Christopher Nuland, technical marketing manager at Red Hat, whose globe-trotting schedule rivals the complexity of a Kubernetes deployment. Christopher sits down with hosts Bailey and Frank La Vigne to explore the frontier of artificial intelligence—from simulating reality and continuous learning models to debates around whether we really…
Thanos Diakakis on Surviving the Software Apocalypse – AI, Agile, and Good Engineering
On this episode of Data Driven, we venture into the ever-shifting landscape of software engineering, AI-assisted coding, and the sometimes chaotic future of development teams with special guest Thanos Diacakis—no, not the Marvel villain, but a powerhouse in software leadership whose career spans scrappy startups to tech giants like Uber. Hosts Frank La Vigne, Andy…
*Special Announcement* From 386 Computers to AI Leadership: Our Season Nine Kickoff
Andy and I are kicking off Season Nine of Data Driven with a bang: an insightful interview with Jeff Woods, author of “The AI Driven Leader.” Andy, Bailey, and I are thrilled to bring you brand-new conversations, deep dives, and data stories all season long. Stay tuned for the official release, and as always, thank…
Doug Finke on PowerShell, AI, and the future of Small Language Models
In this episode, Doug shares his preference for composition over inheritance in object-oriented programming and his strategic use of design patterns in Visual Basic consulting. He challenges commonly held beliefs about language performance and productivity, arguing that faster languages do not always yield faster results. The conversation also explores the offline benefits of large and…