AI and innovation : how to transform your business and outpace the competition with generative AI / Michael Lewrick, Omar Hatamleh
By: Lewrick, Michael [author.]
.
Contributor(s): Hatamleh, Omar [author]
.
Material type:
BookPublisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2025]Copyright date: ©2025Description: 269 pages : illustrations , 25 cms.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781394254972 (paperback).Subject(s): Artificial intelligence| Item type | Current library | Call number | Status | Barcode | |
|---|---|---|---|---|---|
| General lending | MTU Kerry North Campus Library Ground Floor Main | 006.3 LEW (Browse shelf(Opens below)) | Available | 38888000953434 |
Enhanced descriptions from Syndetics:
Transform 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.
Introduction -- About The Authors -- Preface -- Motivation For The topic -- Introduction to Exponential Change -- New Perspectives -- Clearing Up AI Basics -- Key Takeaways -- Part 1: Why AI Matters Imagine That . . . -- What If . . . -- Examples of Use Cases -- Expert Point of View -- Key Takeaways -- Part 2: How to Make A Difference With AI Where to Play and How to Win -- How to Design The AI Strategy -- How to Develop AI Capabilities -- Examples of Industry Cases -- How to Address AI Ethics -- How to Handle AI Regulations -- Expert Point of View -- Key Takeaways -- Part 3: What tools and Methods Support The Activities? How to Leverage The AI Value Chain -- Transformer Models, Agi, and Other Beliefs -- Example of Application Scenario -- Methods For AI and Innovation -- #1 AI Lens: Increased Employee Productivity -- #2 AI Lens: AI-Driven Innovation and Creativity -- #3 AI Lens: top-Line and Bottom-Line Impact -- Expert Point of View -- Key Takeaways -- Part 4: The Future of AI and Innovation What’s Next For AI -- Trends On AI -- AI’s Influence On Different Sectors -- Example of Industry Cases -- Future of Innovation Management -- Expert Point of View -- Key Takeaways.
Transform 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
Table of contents provided by Syndetics
- Introduction
- About the Authors (8)
- Preface (10)
- Motivation for the Topic (12)
- Introduction to Exponential Change (16)
- New Perspectives (28)
- Clearing Up AI Basics (32)
- Key Takeaways (41)
- Part 1 Why AI Matters
- What if… (62)
- Examples of Use Cases (77)
- Expert Point of View (82)
- Key Takeaways (86)
- Part 2 How to Make a Difference with AI
- Where to Play and How to Win (90)
- How to Design the AI Strategy (94)
- How to Develop AI Capabilities (116)
- Examples of Industry Cases (127)
- How to Address AI Ethics (132)
- How to Handle AI Regulations (138)
- Expert Point of View (145)
- Key Takeaways (150)
- Part 3 What Tools and Methods Support the Activities?
- How to Leverage the AI Value Chain (154)
- Transformer Models, AGI, and Other Beliefs (156)
- Example of Application Scenario (161)
- Methods for AI and Innovation (168)
- #1 AI Lens: Increased Employee Productivity (169)
- #2 AI Lens: AI-Driven Innovation And Creativity (180)
- #3 AI Lens: Top-Line and Bottom-Line Impact (194)
- Expert Point of View (200)
- Key Takeaways (204)
- Part 4 The Future of AI and Innovation
- What's Next for AI (208)
- Trends on AI (212)
- AI's Influence on Different Sectors (216)
- Example of Industry Cases (223)
- Future of Innovation Management (230)
- Expert Point of View (237)
- Key Takeaways (244)
- Wrap-Up
- Closing Words (246)
- AI-Glossary (248)
- Sources (257)
- Index (263)