The AI Value Playbook
The AI Value Playbook
How to make AI work in the real world
About the Book
Business leaders are challenged by the speed of AI innovation and how to navigate disruption and uncertainty. This book is a crucial resource for those who want to understand how to leverage AI to drive business value, drawn from the firsthand experience of those who have been implementing this technology successfully. The AI Value Playbook focuses on questions frequently posed by leaders and boards. How can businesses adapt to these emerging technologies? How can they start building and deploying AI as a strategic asset to drive efficiency? What risks or threats need to be considered? How quickly can value be created? This book is a response to those demands. In a series of in-depth and wide-ranging conversations with practitioners, from CEOs leading new generative AI-based companies to Data Scientists and CFOs working in more traditional companies. Our experts share their hard-earned wisdom, talking candidly about their successes and failures, and what excites them about the future. These interviews offer unique insights for business leaders to apply to their own organizations. The book distils a value-driven playbook for how AI can be put to work today.
About the Author
Table of Contents
- Introduction
- Overview of AI Concepts and Technology Stack
- Sam Liang, CEO of Otter.ai
- Amr Awadallah, Founder and CEO at Vectara
- Philipp Heltewig, Co-Founder and CEO at Cognigy
- Miao Song, Chief Information O
- Ruben Ortega, General Partner at Enjoy the Work
- Joshua Rubin, Principal AI Scientist at Fiddler AI
- Nadine Thomson, Global Chief Technology O
- Sarvarth Misra, Co-Founder and CEO of ContractPodAi
- Edward Fine, AI and Data Science Consultant, Technologist, and Instructor
- Sanjeevan Bala, Group Chief Data and AI O
- Nathalie Gaveau, AI Tech Entrepreneur and Board Member
- Phil Harvey, Applied AI Architect
- Elizabeth Ajayi, Director, Intelligent Industry at Capgemini Invent
- Louis DiCesari, Head of Data, Analytics and AI at Levi Strauss & Co.
- Vickey Rodrigues, CTO/CDO in Insuretech, Payments, and Healthtech
- Sean McDonald, Former Global Chief Innovation Officer at McCann Worldgroup
- Julie Gray, Head of Data and Internal Systems at Agilio
- Peter Jackson, Chief Data and Technology O
- Mark Beckwith, Director of Data Governance and Architecture at the Financial Times
- Kshira Saagar, Data Science at Wolt and Doordash
- Joe Romata, Global Head of Customer Experience at a Multinational Energy Company
- Tomasz Ullman Former Global Head of Data Science and Strategy at Ford Pro
- Oz Krakowski Chief Business Development O
- Case Study: LLMs and RAG Enable Hyper-Personalized Education for Healthcare Technicians
- Case Study: AI Personalization Increases Engagement in Nascent Tech Communities
- Case Study: AI-Powered Virtual Agent Augments Service Efficiency
- Case Study: Generative AI Creates a Paradigm Shift in Innovation Processes
- Case Study: Unlocking Profit Potential – Leveraging Enterprise Data for Customer Profitability
- Case Study: Minimizing Customer Churn with AI
- Case Study: Enhancing Marketing Strategies Through the Power of LLMs
- Case Study: Multimodal LLMs Redefine Software Development and Customer Innovation
- Where We've Got To and What's Next
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