Название: All-in On AI: How Smart Companies Win Big with Artificial Intelligence
Автор: Thomas H. Davenport, Nitin Mittal
Издательство: Harvard Business Review Press
Год: 2023
Страниц: 155
Язык: английский
Формат: epub (true), mobi
Размер: 10.3 MB

A fascinating look at the trailblazing companies using Artificial Intelligence (AI) to create new competitive advantage, from the author of the business classic, Competing on Analytics, and the head of Deloitte's US AI practice.

Though most organizations are placing modest bets on Artificial Intelligence, there is a world-class group of companies that are going all-in on the technology and radically transforming their products, processes, strategies, customer relationships, and cultures.

Though these organizations represent less than 1 percent of large companies, they are all high performers in their industries. They have better business models, make better decisions, have better relationships with their customers, offer better products and services, and command higher prices.

In 2015, Google had tallied up more than 2,700 AI and machine-learning projects across the company.2 AI is embedded in virtually all its products and services for customers, including search, maps, Gmail, Duo/Assistant, and many others. It offers TensorFlow, a set of machine-learning algorithms and tools, to Google Cloud customers. Several of Alphabet’s other businesses, including its autonomous vehicle company Waymo and its biotech company Calico, also make extensive use of AI.

That Alphabet/Google was all-in on AI was well known at the time by industry observers, so the announcement didn’t get a lot of attention. It was normal behavior for Silicon Valley and hard-charging digital native organizations. There is even a book about AI-first companies among tech startups, also perhaps to no one’s surprise. People seemed to think, “That’s just what Google does—and for that matter Facebook, Amazon, Tencent, Alibaba, etc.”
But Alphabet/Google and other tech organizations weren’t the only ones thinking about powering their business with AI. There are legacy businesses and even small- to midsize companies that have pursued the objective as well.

AI was supposedly taking place primarily in Silicon Valley, but the European aviation giant Airbus didn’t get the message. Airbus’s website reports, “Artificial intelligence (AI) is much more than a research field: it is a ubiquitous future technology with the potential to redefine all areas of our society. At Airbus, we believe AI is a key competitive advantage that enables us to capitalize on the value of our data.” Airbus applies its AI capabilities across the width and breadth of its global organization, for its commercial airplane business as well as its Helicopters, Defense, and Space divisions. AI technology has been foundational for many Airbus offerings, including its OneAtlas imagery service, ATTOL (vision-based navigation for autonomous taxi, takeoff, and landing) demonstrator, vision-based navigation for helicopters, and virtual assistants to pilots in cockpits and astronauts in the International Space Station.

Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at Artificial Intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One.

Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level.

If you're curious about the next phase in the implementation of Artificial Intelligence within companies, or if you're looking to adopt this powerful technology in a more robust way yourself, All-In on AI will give you a rare inside look at what the leading adopters are doing, while providing you with the tools to put AI at the core of everything you do.

Contents:
• Introduction
• 1 What Does It Mean to Be AI Fueled?
• 2 The Human Side
• 3 Strategy
• 4 Technology and Data
• 5 Capabilities
• 6 Industry Use Cases
• 7 Becoming AI Fueled
• Notes
• Index