AI-powered applications are rolling out everywhere, but enterprises are really not ready for this shift. From lack of infrastructure to power training and inferencing, to a skills gap to manage data and AI, to a lack of readiness to deal with diversity and ethics, there are many holes in enterprise IT. Engineering teams tend to approach all applications from a technical perspective, but AI brings more to the table, demanding a deeper knowledge of bias and legalities than most other applications.
On-Premises for Today’s Roundtable:
Panelists
Frederic Van Haren
Ayodele Odubela
Chris Grundemann
Moderator
Stephen Foskett
Twitter
@FredericVHaren
@DataSciBae
@ChrisGrundemann
Twitter
@SFoskett
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