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AI VALUE PLAYBOOK how to make AI work in the real world

Title
AI VALUE PLAYBOOK [electronic resource] : how to make AI work in the real world / Lisa Weaver-Lambert.
ISBN
1835467598
9781835467596
1835461751
9781835461754
Published
Birmingham, UK : Packt Publishing Ltd., 2024.
Physical Description
1 online resource
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
Learn from real-world examples how leveraging AI, including machine learning and generative AI, is imperative for businesses to navigate risk, drive value, and gain a competitive advantage Key Features Understand machine learning and generative AI terminology, concepts, and the AI technology stack. Learn from diverse real-world case studies narrated by business leaders in their own voice. Apply a value-driven approach to AI applications across multiple business sectors. Book Description 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. What you will learn Fundamentals of AI concepts and the tech stack How AI works with real-world practical applications How to integrate into your company's overall strategy How to incorporate generative AI in your processes How to drive value with sector-wide examples How to organize an AI-driven operating model How to use AI for competitive advantage The dos and don'ts of AI application Who this book is for The AI Value Playbook is aimed at supporting non-technical executives and board members to quickly formulate a perspective on how to integrate AI. This book addresses the gap in data and AI knowledge in leadership teams that have an appetite for nuanced, targeted and practical solutions. It includes which levers and processes to consider to future-proof their business. It speaks to an audience interested in understanding how AI can drive value for their organisations.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version:
Format
Books / Online
Language
English
Added to Catalog
October 08, 2024
Contents
Cover
Title Page
Endorsement
Copyright and Credits
Chapter 1: Introduction
Chapter 2: Overview of AI Concepts and Technology Stack
Chapter 3: Sam Liang
CEO of Otter.ai
Chapter 4: Amr Awadallah
Founder and CEO at Vectara
Chapter 5: Philipp Heltewig
Co-Founder and CEO at Cognigy
Chapter 6: Miao Song
Chief Information Officer at GLP
Chapter 7: Ruben Ortega
General Partner at Enjoy the Work
Chapter 8: Joshua Rubin
Principal AI Scientist at Fiddler AI
Chapter 9: Nadine Thomson
Global Chief Technology Officer at GroupM (WPP)
Chapter 10: Sarvarth Misra
Co-Founder and CEO of ContractPodAi
Chapter 11: Edward Fine
AI and Data Science Consultant, Technologist, and Instructor
Chapter 12: Sanjeevan Bala
Group Chief Data and AI Officer at ITV
Chapter 13: Nathalie Gaveau
AI Tech Entrepreneur and Board Member
Chapter 14: Phil Harvey
Applied AI Architect
Chapter 15: Elizabeth Ajayi
Director, Intelligent Industry at Capgemini Invent
Chapter 16: Louis DiCesari
Head of Data, Analytics and AI at Levi Strauss & Co.
Chapter 17: Vickey Rodrigues
Chapter 31: Minimizing Customer Churn with AI
Chapter 32: Enhancing Marketing Strategies Through the Power of LLMs
Chapter 33: Multimodal LLMs Redefine Software Development and Customer Innovation
Chapter 34: Where We've Got To and What's Next
CTO/CDO in Insuretech, Payments, and Healthtech
Chapter 18: Sean McDonald
Former Global Chief Innovation Officer at McCann Worldgroup
Chapter 19: Julie Gray
Head of Data and Internal Systems at Agilio
Chapter 20: Peter Jackson
Chief Data and Technology Officer at Outra
Chapter 21: Mark Beckwith
Director of Data Governance and Architecture at the Financial Times
Chapter 22: Kshira Saagar
Data Science at Wolt and Doordash
Chapter 23: Joe Romata
Global Head of Customer Experience at a multinational energy company
Chapter 24: Tomasz Ullman
Former Global Head of Data Science and Strategy at Ford Pro
Chapter 25: Oz Krakowski
Chief Business Development Officer at Deepdub
Chapter 26: LLMs and RAG Enable Hyper-Personalized Education for Healthcare Technicians
Chapter 27: AI Personalization Increases Engagement in Nascent Tech Communities
Chapter 28: AI-Powered Virtual Agent Augments Service Efficiency
Chapter 29: Generative AI Creates a Paradigm Shift in Innovation Processes
Chapter 30: Unlocking Profit Potential
Leveraging Enterprise Data for Customer Profitability
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