BasedAI Challenges Enterprise AI Theater
Techstrong TV Interviews
•
24m
Mike Vizard talks with Teana Baker-Taylor, CEO of BasedAI, about why many enterprise AI projects remain stuck in costly experiments rather than delivering measurable business outcomes. Baker-Taylor explains how token shock, frontier model costs, data privacy, context engineering, agent permissions and workflow architecture all determine whether AI becomes useful infrastructure or expensive theater. The conversation also covers open source models, human-in-the-loop governance, AI workers, model flexibility, agentic payments and why organizations need to match the right model and agent workflow to the right business problem.
Up Next in Techstrong TV Interviews
-
The Human in the Loop Is Not Optional
Attackers have AI. Defenders need AI. But that doesn't mean the SOC can run itself. Lisa Liu, Corporate Marketing and Communications Manager at Stellar Cyber, joins Alan Shimel on TechStrong TV to make the case that the human in the loop is not optional — and that treating analysts as a brake ped...
-
Governing AI Agents as First-Class Id...
From Pearl Harbor to SolarWinds, the data was always there — what was missing was the governance layer to connect signals and act before damage propagated. Ravi Soin, CIO and CISO at Smartsheet, joins Alan Shimel on TechStrong TV to explain why that same lesson now defines the AI era and how secu...
-
Cyber Risk Belongs in the Boardroom
Cybersecurity is no longer a CISO conversation — it is a board-level discussion happening alongside AI, geopolitics, and macroeconomic risk. Dylan Sandlin, Program Manager for Digital and Cybersecurity Content at NACD (National Association of Corporate Directors), joins Alan Shimel on TechStrong ...
