AI Impact

Larridin

CIOs are being handed massive AI budgets and board-level pressure to prove value. This show features conversations with technology leaders about what's actually driving impact, what's not, and how they're making the case to skeptical executives.

Episodes

  1. Stop overcorrecting on AI security: what CIOs actually need to worry about

    26 MAR

    Stop overcorrecting on AI security: what CIOs actually need to worry about

    Karl Mosgofian built his career in IT from the ground up, starting as a teenager and eventually serving as CIO at Gainsight, where he watched AI reshape what the CIO role actually means inside a company. In this episode, he and Russ Fradin get into the mechanics of how great CIOs operate, why the CFO relationship matters more than reporting lines, and what changes when agents start doing real work inside your org. The conversation is direct, specific, and covers territory most AI podcasts skip entirely. Topics discussed: Why the CIO is often the right starting point in any enterprise technology sale How CFOs became the natural home for IT to report into Where CIO and HR functions are headed as agent workforces grow Why agents need their own directory identity separate from the humans who authorize them What separates AI projects that scale from the ones that stall The small-group peer learning method that actually moves AI adoption Why most orgs are focused on the wrong AI security risk Which job functions will see the clearest AI impact based on what LLMs are actually built for. Listen to more episodes:  Apple  Spotify  YouTube

    31 min
  2. Rubrik's CIO stopped worrying about AI risk. Now he's racing to meet internal demand | Ajay Sabhlok

    12 MAR

    Rubrik's CIO stopped worrying about AI risk. Now he's racing to meet internal demand | Ajay Sabhlok

    Ajay Sabhlok, CIO and Chief Data Officer at Rubrik, runs one of the more disciplined AI governance operations you'll hear about from a practitioner at this level. He set up a formal AI council with his CFO, co-founder, head of engineering, and general counsel to review every tool request coming into the organization, and he walks through exactly how that structure works in practice, including how Legal now publishes a list of conditions attached to every approved tool. What makes this conversation worth your time is where Ajay is today versus where most CIOs still are. He's past the risk debates. His workforce is educated, excited, and flooding his team with use cases. The bottleneck is now capacity, not buy-in, and that shift reveals a lot about what a mature AI program actually looks like from the inside. Topics discussed: How Rubrik's cross-functional AI council routes, reviews, and approves tool requests Legal publishing conditional approval lists tied to data sensitivity requirements Why capacity, not skepticism, became the real internal obstacle The data quality foundation Ajay says must exist before any AI use case scales Why pay-as-you-go contracts are replacing multi-year agreements in AI procurement Why Ajay is more bullish on AI now than he was two years ago Sales and marketing as the next major AI productivity frontier after coding and call centers

    38 min
  • 2 Episodes

About

CIOs are being handed massive AI budgets and board-level pressure to prove value. This show features conversations with technology leaders about what's actually driving impact, what's not, and how they're making the case to skeptical executives.

Information

  • Creator
    Larridin
  • Years Active
    2k
  • Episodes
    2
  • Rating
    Clean
  • Copyright
    © Larridin
  • Show Website
    AI Impact