| 000 | 02234nam a22002177a 4500 | ||
|---|---|---|---|
| 003 | 0 | ||
| 005 | 20250729110019.0 | ||
| 008 | 250729b xxu||||| |||| 00| 0 eng d | ||
| 020 | _a9781394254972 | ||
| 050 |
_aHD45 _b.L49 2025 |
||
| 100 |
_aLewrick, Michael _eauthor |
||
| 245 |
_aAI and innovation : _bhow to transform your business and outpace the competition with generative AI _cMichael Lewrick and Omar Hatamleh |
||
| 260 |
_aHoboken, New Jersey _bJohn Wiley & Sons, Inc. _c2025 |
||
| 300 |
_a269 pages : _bcolored illustrations and pictures ; _c26cm. |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _aTransform your organization's approach to AI with tested frameworks from global leaders AI and Innovation: How to Transform Your Business and Outpace the Competition with Generative AI is an expert blueprint on shaping and scaling the AI ecosystem of the future, revealing frameworks already tested and implemented at leading companies including Siemens, GE, and Microsoft. This book contains insight, use cases, tools, and templates to help readers build a brighter future for their organizations based on a fusion of disciplines, new concepts, and foresight thinking. Written by two transformational business leaders, this AI and Innovation shows readers how to create the future of the innovation engine by connecting the dots between technology, change, and business success. The authors discuss topics including: Understanding the core concepts behind AI, including why it matters and what it actually is Generating a roadmap of change, then applying concrete tools and methods to kick-start and anticipate transformational change Transforming the ways of working, collaborating, and realizing new market opportunities Preparing for the future as AI and related technologies continue to progress at a breathtaking pace AI and Innovation is a timely, essential read for business leaders, innovation and strategy managers, and executives seeking state-of-the-art guidance on AI and proven best practices for implementation. | ||
| 650 | _aArtificial intelligence. | ||
| 650 | _aBusiness data processing -- Artificial intelligence. | ||
| 700 |
_aHatamleh, Omar _eauthor. |
||
| 942 |
_2lcc _cBK |
||
| 999 |
_c367482 _d367482 |
||