From Knowledge to Autonomy: How BMC Is Shaping the AI Journey for the Mainframe

Most mainframe challenges today are not caused by broken systems.

They are caused by disappearing knowledge.

Senior experts are retiring.

Documentation is incomplete or outdated.

And newer team members are expected to operate some of the most critical systems in the enterprise with very little context.

In Part 1 of this podcast, we focus on where the AI journey really begins.

- Why mainframe teams are under pressure right now.

- What types of institutional knowledge are most at risk.

- And how AI changes the way that knowledge is captured, shared, and used.

Liat Sokolov walks through why AI is showing up at this moment and why traditional approaches have not been enough.

Anthony DiStauro explains how AI helps close the skills gap by shortening learning curves and guiding teams through complex systems with more confidence.

This episode is not about autonomy yet.

It is about preserving what matters and helping people work better with the systems they already depend on.

Part 1 is live now.

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