ABOUT THIS EPISODE
As government agencies accelerate their adoption of artificial intelligence, some of the biggest questions are no longer just about what AI can do, but where it should live, how it should be managed, and whether the strategies that got organizations here are the right ones to carry them forward.
David Blackburn recently connected with Lee Koepping, Vice President of Global Sales Engineering at ScienceLogic, for a timely conversation about the changing AI landscape and some of the difficult decisions facing government and industry leaders.
ScienceLogic is a leader in AI and observability, helping organizations gain greater visibility, intelligence, and control across increasingly complex IT environments. With deep expertise in infrastructure monitoring, automation, and AI-driven IT operations, the company brings a particularly valuable perspective to a conversation that is becoming increasingly important across the federal market.
Drawing on more than 25 years of experience spanning technology, engineering, and business leadership, Lee offers a thought-provoking perspective on where AI adoption is headed and why some long-standing assumptions about cloud deployment may deserve a second look.
The discussion explores the growing shift toward workload-specific AI strategies, the security and financial risks that may be hiding in plain sight as agencies embrace third-party AI tools, and the increasingly difficult challenge of maintaining visibility and control over data and AI workloads spread across multiple environments.
Perhaps most interesting is Lee's bold perspective on where all of this is headed, and what government and industry leaders should be thinking about now as they make decisions that could shape their technology environments for years to come.
For federal technology leaders, CIOs, and industry partners navigating the next phase of AI adoption, this is a conversation worth hearing.
To connect with Lee, follow him on LinkedIn here.
Learn more about ScienceLogic by visiting their webpage here.
