The AI Value Playbook
Packt Publishing Limited (Verlag)
978-1-83546-175-4 (ISBN)
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 DescriptionBusiness 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 forThe 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.
Lisa Weaver-Lambert brings extensive experience from working inside leading technology companies, private equity, executive line management, global consulting firms, and board membership. Drawing from roles at Microsoft, Accenture, and private capital, Lisa brings an international perspective to this invaluable work. As a respected business leader and founder of Oxford AI Studio, Lisa partners with businesses to shape strategy and leverage AI technologies to generate value across diverse sectors. Her wealth of knowledge, practical experience, and unique access to leading minds in today's business landscape make AI Decoded a must-read for every forward-thinking executive seeking to navigate the complex landscape of AI technologies.
Table of Contents
Introduction
Overview of AI Concepts and Technology Stack
Interview – Sam Liang, CEO Otter.AI
Interview – Amr Awadallah, Founder and CEO at Vectara
Interview – Philipp Heltewig, co-founder and CEO of Cognigy
Interview – Miao Song, Chief Information Officer at GLP
Interview – Ruben Ortega, General Partner at Enjoy the Work
Interview – Joshua Rubin, Principle AI Scientist at Fiddler AI
Interview – Nadine Thomson, Global Chief Technology Officer at GroupM (WPP)
Interview – Sarvarth Misra, Co-Founder and CEO of ContractPodAi
Authors note
Interview – Sanjeevan Bala, Group Chief Data and AI Officer at ITV
Interview – Phil Harvey, Applied AI Architect
Interview – Elizabeth Ajayi, Director - Intelligent Industry at Capgemini Invent
Interview – Louis DiCesari, Global Head of Data, Analytics, and AI at Levi Strauss & Co
Interview – Vickey Rodrigues, CTO/ CDO in InsureTech, Payments and HealthTech
Interview – Sean McDonald, formally Global Chief Innovation Officer at McCann Worldgroup
Interview – Julie Gray, Head of Data and Internal Systems at Agilio
Interview – Peter Jackson, Chief Data and Technology Officer at Outra
Interview – Mark Beckwith, Director of Data Governance and Architecture at the Financial Times
Interview – Kishira Saagar, Data Science at Wolt and DoorDash
Interview – Joe Romata, Global Head of Customer Experience at a Multinational Energy Company
Interview – Tomasz Ullman, Commercial Director at RAC and Global Data Science & Strategy at Ford Pro Tech Data & Analytics during the interview
Interview – Oz Krakowski, Chief Business Development Officer at Deepdub.ai
Case Study – Use of LLMs and RAG technology in delivering Hyper-personalised education for healthcare technicians
Case Study – AI-personalization enhances engagement on social media platform in nascent tech communities and bridges language barriers
Case Study – AI-Powered Virtual Agent Launched to Streamline Internal IT Issue Resolution and Reduce Service Desk Calls
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 – Revolutionizing software development with Large Language Models (LLMs) and innovating with a global entertainment company
Case Study – GenAI drives efficiency in legal reporting
The AI Value Playbook
| Erscheinungsdatum | 29.03.2024 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| ISBN-10 | 1-83546-175-1 / 1835461751 |
| ISBN-13 | 978-1-83546-175-4 / 9781835461754 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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