All-in on AI : how smart companies win big with artificial intelligence / Thomas H. Davenport, Nitin Mittal.

Format:

Sound recording

Author/Creator:

Davenport, Thomas H., 1954- author.

Mittal, Nitin, author.

Contributor:

Dysart, Derek, Narrator.

Language:

English

Subjects (All):

Business--Data processing.

Business.

Artificial intelligence.

Physical Description:

1 online resource (1 audio file (6 hr., 47 min.))

Edition:

[First edition].

Place of Publication:

Rego Park : Ascent Audio, 2023.

[Place of publication not identified] : Ascent Audio, 2023.

System Details:

audio file

Summary:

Though most organizations are placing modest bets on artificial intelligence, there is a world-class group of companies that are going all-in on the technology and radically transforming their products, processes, strategies, customer relationships, and cultures. Though these organizations represent less than 1 percent of large companies, they are all high performers in their industries. They have better business models, make better decisions, have better relationships with their customers, offer better products and services, and command higher prices. Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level. If you're curious about the next phase in the implementation of artificial intelligence within companies, or if you're looking to adopt this powerful technology in a more robust way yourself, All-In on AI will give you a rare inside look at what the leading adopters are doing, while providing you with the tools to put AI at the core of everything you do.

Participant:

Narrator: Derek Dysart.

Notes:

Unabridged.

OCLC-licensed vendor bibliographic record.

ISBN:

9781663722553

1663722552

OCLC:

1367326752