Operations | Monitoring | ITSM | DevOps | Cloud

Ep 41: The cost of not thinking: Who's responsible when AI agents get it wrong?

In this episode of Masters of Data, we get into the messier side of AI adoption, tackling questions like who actually owns the output when AI gets it wrong, and whether chasing efficiency is making us forget what it means to be human in the first place. We discuss tech CEOs proudly announcing they no longer think for themselves and debate whether AI is quietly eroding our critical thinking skills. We make the case that purpose-built, narrow AI is genuinely exciting, but that no efficiency gain is worth losing the human touch that makes work, connection, and creativity meaningful.

Ep 37: Robbing banks is now a work from home job

In this episode of Masters of Data, we explore how banks and fintech companies have traded friendly neighborhood tellers for data-driven, always-on digital fortresses. We unpack everything from sophisticated phishing schemes and viral TikTok check fraud trends to the AI-powered tools that now handle the fraud detection Shirley the bank teller used to manage through sheer familiarity. We make the case that financial institutions today face more pressure than ever to be trustworthy, secure, and seamless all at once, whether their customers are logging into a sleek app or calling a landline to pay two bills a month.

Ep 36: Do not resuscitate: Legacy tech in modern medicine

In this episode of Masters of Data, we dig into the cybersecurity nightmare that is modern healthcare IT, from ransomware attacks shutting down entire hospitals to IoT medical devices running software older than some of our passwords. We explore why healthcare organizations make such attractive targets for cybercriminals, and why the combination of life-or-death stakes, skeleton-crew security teams, and Windows-95-era equipment is a recipe for chaos.

Ep 24: Governing AI in the age of agentic systems and Model Context Protocol

On this episode of Masters of Data, we unpack David's new white paper on AI governance for agentic systems. He explains model context protocol (MCP) as "APIs for agents", how AI systems talk and execute tasks. The catch? Autonomous agents are insider threats that move fast and cause serious damage. David introduces the Model Control Plane (MoCop), a twelve-pillar framework designed to prevent your AI from going rogue. We cover his roadmap for security leaders to build real controls and telemetry. His advice: treat agents like interns with root access. Get ahead of this before your agents do.