Enterprise artificial intelligence transformation Book / a playbook for the next generation of business and technology leaders Rashed Haq.

By:

Haq, Rashed [author.]

Material type: Text

TextDescription: xxiv, 342 pages : 23 cmISBN:

9781119665939 (Hardback)

Subject(s):

DDC classification:

006.3068 23

Other classification:

006.3068

Summary: "Enterprise Artificial Intelligence Transformation helps business and technology professionals master the segments of the AI market that relate to them and achieve, maintain, and grow successful and cost-effective AI. Readers will learn to build and sustain an AI organizational capability at scale. The author takes a dual analytic and instructional approach, enabling readers to come away confident in their ability to utilize AI effectively. Topics covered include: Crafting an AI strategy Machine learning, deep learning, and semantic modeling Creating and managing an AI Center of Excellence Risk management, and Real-world AI use cases"-- Provided by publisher.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Junaid Zaidi Library, COMSATS University Islamabad Ground Floor	006.3068 HAQ-E 61621 (Browse shelf(Opens below))	Available		10001000061621

Total holds: 0

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Previous	006.302855133 BRA-P Prolog programming for artificial intelligence	006.302855133 BRA-P Prolog programming for artificial intelligence	006.30321 HUN-A Artificial intelligence & expert systems sourcebook	006.3068 HAQ-E 61621 Enterprise artificial intelligence transformation a playbook for the next generation of business and technology leaders	006.309 ART 63265 Artificial intelligence for science : a deep learning revolution /	006.309 MEC The mechanical mind in history	006.31 ABA-M 63317 Machine learning for cyber agents : attack and defence /	Next

Includes index.

"Enterprise Artificial Intelligence Transformation helps business and technology professionals master the segments of the AI market that relate to them and achieve, maintain, and grow successful and cost-effective AI. Readers will learn to build and sustain an AI organizational capability at scale. The author takes a dual analytic and instructional approach, enabling readers to come away confident in their ability to utilize AI effectively. Topics covered include: Crafting an AI strategy Machine learning, deep learning, and semantic modeling Creating and managing an AI Center of Excellence Risk management, and Real-world AI use cases"-- Provided by publisher.

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