The AI Advantage

The AI Advantage PDF Author: Thomas H. Davenport
Publisher: MIT Press
ISBN: 0262538008
Category : Business & Economics
Languages : en
Pages : 243

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Book Description
Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He 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. His key recommendation: 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. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.

The Hype Machine

The Hype Machine PDF Author: Sinan Aral
Publisher: Crown Currency
ISBN: 0525574522
Category : Business & Economics
Languages : en
Pages : 417

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Book Description
A landmark insider’s tour of how social media affects our decision-making and shapes our world in ways both useful and dangerous, with critical insights into the social media trends of the 2020 election and beyond “The book might be described as prophetic. . . . At least two of Aral’s three predictions have come to fruition.”—New York NAMED ONE OF THE BEST BOOKS OF THE YEAR BY WIRED • LONGLISTED FOR THE PORCHLIGHT BUSINESS BOOK AWARD Social media connected the world—and gave rise to fake news and increasing polarization. It is paramount, MIT professor Sinan Aral says, that we recognize the outsize effect social media has on us—on our politics, our economy, and even our personal health—in order to steer today’s social technology toward its great promise while avoiding the ways it can pull us apart. Drawing on decades of his own research and business experience, Aral goes under the hood of the most powerful social networks to tackle the critical question of just how much social media actually shapes our choices, for better or worse. He shows how the tech behind social media offers the same set of behavior influencing levers to everyone who hopes to change the way we think and act—from Russian hackers to brand marketers—which is why its consequences affect everything from elections to business, dating to health. Along the way, he covers a wide array of topics, including how network effects fuel Twitter’s and Facebook’s massive growth, the neuroscience of how social media affects our brains, the real consequences of fake news, the power of social ratings, and the impact of social media on our kids. In mapping out strategies for being more thoughtful consumers of social media, The Hype Machine offers the definitive guide to understanding and harnessing for good the technology that has redefined our world overnight.

The Executive Guide to Artificial Intelligence

The Executive Guide to Artificial Intelligence PDF Author: Andrew Burgess
Publisher: Springer
ISBN: 3319638203
Category : Business & Economics
Languages : en
Pages : 187

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Book Description
This book takes a pragmatic and hype–free approach to explaining artificial intelligence and how it can be utilised by businesses today. At the core of the book is a framework, developed by the author, which describes in non–technical language the eight core capabilities of Artificial Intelligence (AI). Each of these capabilities, ranging from image recognition, through natural language processing, to prediction, is explained using real–life examples and how they can be applied in a business environment. It will include interviews with executives who have successfully implemented AI as well as CEOs from AI vendors and consultancies. AI is one of the most talked about technologies in business today. It has the ability to deliver step–change benefits to organisations and enables forward–thinking CEOs to rethink their business models or create completely new businesses. But most of the real value of AI is hidden behind marketing hyperbole, confusing terminology, inflated expectations and dire warnings of ‘robot overlords’. Any business executive that wants to know how to exploit AI in their business today is left confused and frustrated. As an advisor in Artificial Intelligence, Andrew Burgess regularly comes face–to–face with business executives who are struggling to cut through the hype that surrounds AI. The knowledge and experience he has gained in advising them, as well as working as a strategic advisor to AI vendors and consultancies, has provided him with the skills to help business executives understand what AI is and how they can exploit its many benefits. Through the distilled knowledge included in this book business leaders will be able to take full advantage of this most disruptive of technologies and create substantial competitive advantage for their companies.

Artificial Intelligence

Artificial Intelligence PDF Author: Melanie Mitchell
Publisher: Farrar, Straus and Giroux
ISBN: 0374715238
Category : Computers
Languages : en
Pages : 216

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Book Description
“After reading Mitchell’s guide, you’ll know what you don’t know and what other people don’t know, even though they claim to know it. And that’s invaluable." –The New York Times A leading computer scientist brings human sense to the AI bubble No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

Smoke and Mirrors

Smoke and Mirrors PDF Author: Gemma Milne
Publisher: Robinson
ISBN: 9781472143662
Category : TECHNOLOGY & ENGINEERING
Languages : en
Pages : 336

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Book Description
'Stop following the news until you've read Gemma Milne's persuasive analysis of the hype and bullshit that distort our understanding of emerging science. As she shows, the starting point to grasping the genuine opportunities of AI, life sciences and climate tech is a healthy dose of critical thinking' David Rowan, founding editor of WIRED UK and author of Non-Bullshit Innovation: Radical Ideas from the World's Smartest Minds 'Couldn't be more timely. Fascinating and vitally important' Jamie Bartlett, author of The People Vs Tech 'A much-needed blast of fresh air! Gemma Milne expertly shows us how to separate the truth from the hype surrounding the emerging techs of today, and those of the near-tomorrow' Lewis Dartnell, author of Origins: How the Earth Made Us 'I loved this book! This is exactly the sort of sceptical, cut-through-the crap-but-still-excited-about-what's-emerging book around tech innovation that's sorely needed, yet is so hard to find . . . essential reading for anyone who's serious about how real-world advances might be effectively harnessed to build a better future' Dr Andrew Maynard, scientist and author of Films from the Future and Future Rising '[A] vital contribution in a world where technological progress promises so much, but too often disappoints. If, like me, you believe that advances in science and technology are our best hope for solving the grand challenges of our times, this book is the indispensable guide to avoiding the mirages and the charlatans along the way' Matt Clifford, co-founder and CEO of Entrepreneur First 'A refreshingly grown-up, clear-headed look at the interaction between science, technology and the media - readable without being dumbed down, acknowledging complexities without being heavy' Tom Chivers, author of The AI Does Not Hate You 'ROBOTS WILL STEAL YOUR JOB!' 'AI WILL REVOLUTIONISE FARMING!' 'GENETIC EDITING WILL CURE CANCER!' Bombastic headlines about science and technology are nothing new. To cut through the constant stream of information and misinformation on social media, or grab the attention of investors, or convince governments to take notice, strident headlines or bold claims seem necessary to give complex, nuanced information some wow factor. But hype has a dark side, too. It can mislead. It can distract. It can blinker us from seeing what is actually going on. From AI, quantum computing and brain implants, to cancer drugs, future foods and fusion energy, science and technology journalist Gemma Milne reveals hype to be responsible for fundamentally misdirecting or even derailing crucial progress. Hype can be combated and discounted, though, if you're able to see exactly where, how and why it is being deployed. This book is your guide to doing just that.

The Analytics Revolution

The Analytics Revolution PDF Author: Bill Franks
Publisher: John Wiley & Sons
ISBN: 1118976762
Category : Business & Economics
Languages : en
Pages : 304

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Book Description
Lead your organization into the industrial revolution of analytics with The Analytics Revolution The topics of big data and analytics continue to be among the most discussed and pursued in the business world today. While a decade ago many people still questioned whether or not data and analytics would help improve their businesses, today virtually no one questions the value that analytics brings to the table. The Analytics Revolution focuses on how this evolution has come to pass and explores the next wave of evolution that is underway. Making analytics operational involves automating and embedding analytics directly into business processes and allowing the analytics to prescribe and make decisions. It is already occurring all around us whether we know it or not. The Analytics Revolution delves into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, and covers factors to consider if an organization is to succeed in making analytics operational. Along the way, you'll learn how changes in technology and the business environment have led to the necessity of both incorporating big data into analytic processes and making them operational. The book cuts straight through the considerable marketplace hype and focuses on what is really important. The book includes: An overview of what operational analytics are and what trends lead us to them Tips on structuring technology infrastructure and analytics organizations to succeed A discussion of how to change corporate culture to enable both faster discovery of important new analytics and quicker implementation cycles of what is discovered Guidance on how to justify, implement, and govern operational analytics The Analytics Revolution gives you everything you need to implement operational analytic processes with big data.

Skin Trade

Skin Trade PDF Author: Ann DuCille
Publisher: Harvard University Press
ISBN: 9780674810846
Category : Business & Economics
Languages : en
Pages : 228

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Book Description
Challenging the increasingly popular argument that blacks should settle down, stop whining, and get jobs, Skin Trade insists that racism remains America's premier national story and its grossest national product. From Aunt Jemima Pancakes to ethnic Barbie dolls, Ann duCille explains, corporate America peddles racial and gender stereotypes.

Working with AI

Working with AI PDF Author: Thomas H. Davenport
Publisher: MIT Press
ISBN: 0262371197
Category : Business & Economics
Languages : en
Pages : 312

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Book Description
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.

Intelligence in Big Data Technologies—Beyond the Hype

Intelligence in Big Data Technologies—Beyond the Hype PDF Author: J. Dinesh Peter
Publisher: Springer Nature
ISBN: 9811552851
Category : Technology & Engineering
Languages : en
Pages : 625

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Book Description
This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this proceeding provide novel ideas that contribute for the growth of world class research and development. It will be useful to researchers in the area of advanced engineering sciences.

Outsmarting AI

Outsmarting AI PDF Author: Brennan Pursell
Publisher: Rowman & Littlefield
ISBN: 1538136252
Category : Business & Economics
Languages : en
Pages : 225

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Book Description
From factories to smartphones, Artificial Intelligence is already taking over. Outsmarting AI is not a how-to guide on making AI work, but making it work for YOU to boost profits and productivity. Each development in Artificial Intelligence (AI) technology brings about apprehension and panic for the future of society and for business. We’re bombarded with stories about the impending human-less workplace; it is no longer a question if man can be replaced by machine in certain tasks, but when. However, AI was not manufactured to destroy life as we know it. These emerging technologies were developed and are constantly updating with a particular goal in mind: optimization. AI feeds on data and information to improve outputs and increase potential. With this enhanced productivity, profit and productivity will be sure to follow. Written by Brennan Pursell, a business consultant and professor who hates jargon, and Joshua Walker, an AI pioneer with 18 years of experience in solutions and applications, Outsmarting AI is the first plain-English how-to guide on adapting AI for the non-coding proficient business leader. This book will help readers to Cut through the fog of AI hype See exactly what AI can actually do for people in business Identify the areas of their organization in most need of AI tools Prepare and control their data – AI is useless without it Adopt AI and develop the right culture to support it Track the productivity boost, cost savings, and increased profits Manage and minimize the threat of crippling lawsuits