Data access and other bottlenecks in enterprise AI adoption : DJ Patil live with Tim O'Reilly.

Format:

Video

Contributor:

Patil, DJ (Dhanurjay), presenter.

O'Reilly, Tim, presenter.

O'Reilly (Firm), publisher.

Language:

English

Subjects (All):

Computer security.

Artificial intelligence.

Physical Description:

1 online resource (1 video file (59 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Sebastopol, California] : O'Reilly Media, Inc., 2026.

Summary:

When it comes to experts on the power, principles, and intricacies of data, you can't do much better than DJ Patil. He co-coined the term "data scientist" and served as America's first chief data scientist under President Obama, as well as chief scientist at LinkedIn. DJ is also part of the founding team and current board member at Devoted Health and a longtime O'Reilly author, dating back to Building Data Science Teams and Ethics and Data Science. This episode emerged from a recent conversation between DJ and Tim O'Reilly on the challenges enterprises face in adopting AI, including data infrastructure and institutional resistance. We want to continue that conversation together with a live audience. Some key topics: Whether the company has the right data architecture can make all the difference to a company's ability to take advantage of new agentic workflows and the productivity gains from AI. It's also important to get past the rhetoric of job losses as the inevitable outcome of AI adoption. We'll discuss why the most successful companies are harnessing the efficiencies AI can bring to do more, not just to cut costs. DJ has also been sounding the alarm on the governance gaps in the agentic economy, from the shadow AI proliferating inside enterprises to the fact that agents are getting real credentials and taking real actions with essentially zero security posture around them. Don't miss this one.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1593463539

Publisher Number:

0642572372071