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Enterprises aren’t failing at AI. They’re failing at data.
Daniel Docter, Managing Director at Dell Technologies Capital, shares why the biggest barrier to enterprise AI isn’t models or talent—it’s the fractured, unstructured, and context-free data that most companies still struggle to harness.
In this episode of Technovation, Daniel and Peter High explore:
Why data context is critical to enabling enterprise reasoning
How Redis and other startups are fixing the AI performance gap
What Dell Technologies Capital looks for in early-stage enterprise AI
How corporate VC has evolved into a founder-enabling force
Why the next five years will reward enterprises that fix their data layer
By Metis Strategy4.8
7373 ratings
Enterprises aren’t failing at AI. They’re failing at data.
Daniel Docter, Managing Director at Dell Technologies Capital, shares why the biggest barrier to enterprise AI isn’t models or talent—it’s the fractured, unstructured, and context-free data that most companies still struggle to harness.
In this episode of Technovation, Daniel and Peter High explore:
Why data context is critical to enabling enterprise reasoning
How Redis and other startups are fixing the AI performance gap
What Dell Technologies Capital looks for in early-stage enterprise AI
How corporate VC has evolved into a founder-enabling force
Why the next five years will reward enterprises that fix their data layer

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