New Release
All-in On AI:
How Smart Companies Win Big with Artificial Intelligence
Author: Thomas H. Davenport and Nitin Mittal, 2023
Filled with insights, strategies, and best practices,
All-In on AI also provides leaders and their teams with the insights to help their own companies become AI-fueled.
This includes:
- How to adopt multiple "use cases" or applications to support a wide variety of business goals and objectives
- How to deploy AI tools systematically across every core business process and enterprise operation
- How to drive new offerings and business models with AI and data-driven decision-making
- How to increase organization-wide fluency in AI
- What AI leadership really means
For anyone thinking about the next phase in artificial intelligence integration or planning to adopt this powerful technology in a more strategic way, All-In on AI offers a rare, inside look at what leading adopters are doing, while providing the tools to place AI at the core of everything the organization will do
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New Release
Working with AI
Real Stories of Human-Machine Collaboration
Author: Thomas H. Davenport & Steven M. Miller, 2022
Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings.
This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers.
These cases include a digital system for life insurance underwriting that analyzes applications and third-party data in real time, allowing human underwriters to focus on more complex cases; an intelligent telemedicine platform with a chat-based interface; a machine learning-system that identifies impending train maintenance issues by analyzing diesel fuel samples; and Flippy, a robotic assistant for fast food preparation. For each one, Davenport and Miller describe in detail the work context for the system, interviewing job incumbents, managers, and technology vendors. Short “insight” chapters draw out common themes and consider the implications of human collaboration with smart systems.
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New Release
Advanced Introduction to Artificial Intelligence in Healthcare
Author: Thomas H. Davenport, John Glaser, Elizabeth Gardner, 2022
Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences, business and law, expertly written by the world's leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas.
Providing a comprehensive overview of the current and future uses of Artificial Intelligence (AI) in healthcare, this Advanced Introduction discusses the issues surrounding the implementation, governance, impacts and risks of utilising AI in health organizations
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The AI Advantage
How to Put the Artificial Intelligence Revolution to Work
Author: Thomas H. Davenport, 2018
Read a review at MIT Press
The AI Advantage, offers a guide to using artificial intelligence in business. It describes what technologies are available and how companies can use them for business benefits and competitive advantage. It cuts through the hype of the AI craze—remember when it seemed plausible that IBM’s Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. Key recommendations: don’t go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient.
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Competing on Analytics: Updated with a New Introduction
The New Science of Winning
Author: Thomas H. Davenport, Jeanne G. Harris, 2017
This landmark work, the first to introduce business leaders to analytics, reveals how analytics are rewriting the rules of competition. Updated with fresh content, Competing on Analytics provides the road map for becoming an analytical competitor, showing readers how to create new strategies for their organizations based on sophisticated analytics. Introducing a five-stage model of analytical competition, Davenport and Harris describe the typical behaviors, capabilities, and challenges of each stage. They explain how to assess your company’s capabilities and guide it toward the highest level of competition. With equal emphasis on two key resources, human and technological, this book reveals how even the most highly analytical companies can up their game.For more information and to purchase:
Only Humans Need Apply
Winners and Losers in the Age of Smart Machines
Author: Thomas H. Davenport, Julia Kirby, 2016
Accolades abound from Forbes to the Financial Times
Should all of us knowledge workers be nervous about the arrival of AI and other smart technologies in the workplace? Yes and no — the key is to ensure you are well positioned to have your work augmented by them, and not automated.For more information and to purchase:
