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When should a company train its own AI model on its own data?

Answered independently in 1 episodes. Every line below is verbatim from the transcript, timestamped to the moment it was said.

Agentic AI for Business Leaders: Trust, Guardrails and Rollout Lessons from Cisco’s Joe Vaccaro
The short answer

What the archive says

01Only train your own model if your data is a genuine part of your differentiated value proposition, as Cisco did with 40 years of network telemetry in its deep network model. source →

In their words

What was actually said

Part of it is that do you sit on data that becomes part of your own differentiation as a business? And if you do, then there's a key unlock that could be had to be able to then leverage that in specialized ways. So instead of using a general purpose LLM at a frontier, your customers are able to leverage a model that is highly tuned and highly trained on a particular class of problems that you have the keys.
Joe Vaccaro · Agentic AI for Business Leaders: Trust, Guardrails a (20:54)
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