The Enterprise is Not Ready for AI episode artwork

EPISODE · May 25, 2021 · 33 MIN

The Enterprise is Not Ready for AI

from Tech Field Day Podcast · host Tech Field Day

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 Be sure to join us for AI Field Day May 27-28, 2021! Follow us on Twitter! AND SUBSCRIBE to our newsletter for more great coverage right in your inbox.

Episode metadata supplied by the publisher feed · Published May 25, 2021

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 Be sure to join us for AI Field Day May 27-28, 2021! Follow us on Twitter! AND SUBSCRIBE to our newsletter for more great coverage right in your inbox.

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This episode is 33 minutes long.

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This episode was published on May 25, 2021.

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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...

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