Not just any data will do for AI integrations for IT. Having a lot of data is one thing, however; understanding context for what is right and wrong — to generate data insights — is another. That’s why combining depth, breadth, and history of data (to feed the model for accuracy) and human expertise (to provide context) is crucial.
Download the whitepaper to learn:
What does depth, breath, and history of data really mean
How this data can fuel more effective AI
The capabilities enabled by this data
Insights leaders can glean from this data.
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