› › Summary Of Eric Siegel S The Ai Playbook

Summary of Eric Siegel's The AI Playbook

Author : Milkyway Media

Publisher : Milkyway Media

Page : 27 pages

File Size : 27,21 MB

Release : 2024-03-11

Category : Technology & Engineering

ISBN :

Get eBook

Book Description

Get the Summary of Eric Siegel's The AI Playbook in 20 minutes. Please note: This is a summary & not the original book. "The AI Playbook" provides a comprehensive guide to deploying machine learning (ML) projects successfully, emphasizing the importance of a strategic approach that integrates business and technical expertise. The book introduces bizML, a six-phase framework that includes defining the value proposition, setting precise prediction goals, determining performance metrics, preparing data, constructing the algorithm, and launching the model. It addresses the common pitfalls of ML deployment, such as the low deployment rate of ML projects, the technical and organizational challenges, and the need for leadership that understands both the business impact and the technical complexities of ML...



Predictive Analytics

Author : Eric Siegel

Publisher : John Wiley & Sons

Page : 368 pages

File Size : 19,22 MB

Release : 2016-01-12

Category : Business & Economics

ISBN : 1119153654

Get eBook

Book Description

"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a



The AI Advantage

Author : Thomas H. Davenport

Publisher : MIT Press

Page : 243 pages

File Size : 12,3 MB

Release : 2019-08-06

Category : Business & Economics

ISBN : 0262538008

Get eBook

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.



Decision Management Systems

Author : James Taylor

Publisher : Pearson Education

Page : 387 pages

File Size : 41,69 MB

Release : 2011-10-13

Category : Business & Economics

ISBN : 0132884445

Get eBook

Book Description

"A very rich book sprinkled with real-life examples as well as battle-tested advice.” —Pierre Haren, VP ILOG, IBM "James does a thorough job of explaining Decision Management Systems as enablers of a formidable business transformation.” —Deepak Advani, Vice President, Business Analytics Products and SPSS, IBM Build Systems That Work Actively to Help You Maximize Growth and Profits Most companies rely on operational systems that are largely passive. But what if you could make your systems active participants in optimizing your business? What if your systems could act intelligently on their own? Learn, not just report? Empower users to take action instead of simply escalating their problems? Evolve without massive IT investments? Decision Management Systems can do all that and more. In this book, the field’s leading expert demonstrates how to use them to drive unprecedented levels of business value. James Taylor shows how to integrate operational and analytic technologies to create systems that are more agile, more analytic, and more adaptive. Through actual case studies, you’ll learn how to combine technologies such as predictive analytics, optimization, and business rules—improving customer service, reducing fraud, managing risk, increasing agility, and driving growth. Both a practical how-to guide and a framework for planning, Decision Management Systems focuses on mainstream business challenges. Coverage includes Understanding how Decision Management Systems can transform your business Planning your systems “with the decision in mind” Identifying, modeling, and prioritizing the decisions you need to optimize Designing and implementing robust decision services Monitoring your ongoing decision-making and learning how to improve it Proven enablers of effective Decision Management Systems: people, process, and technology Identifying and overcoming obstacles that can derail your Decision Management Systems initiative



The AI Playbook

Author : Eric Siegel

Publisher : MIT Press

Page : 255 pages

File Size : 38,73 MB

Release : 2024-02-06

Category : Business & Economics

ISBN : 0262378132

Get eBook

Book Description

In his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it. “Eric Siegel delivers a robust primer on machine learning, the key mechanism in AI. A forward-looking, practical book and a must-read for anyone in the information economy.” —Scott Galloway, NYU Stern Professor of Marketing; bestselling author of The Four “An antidote to today’s relentless AI hype—why some AI initiatives thrive while others fail and what it takes for companies and people to succeed.” —Charles Duhigg, author of bestsellers The Power of Habit and Smarter Faster Better The greatest tool is the hardest to use. Machine learning is the world’s most important general-purpose technology—but it’s notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects from conception to deployment. He illustrates the practice with stories of success and of failure, including revealing case studies from UPS, FICO, and prominent dot-coms. This disciplined approach serves both sides: It empowers business professionals, and it establishes a sorely needed strategic framework for data professionals. Beyond detailing the practice, this book also upskills business professionals—painlessly. It delivers a vital yet friendly dose of semi-technical background knowledge that all stakeholders need to lead or participate in machine learning projects, end to end. This puts business and data professionals on the same page so that they can collaborate deeply, jointly establishing precisely what machine learning is called upon to predict, how well it predicts, and how its predictions are acted upon to improve operations. These essentials make or break each initiative—getting them right paves the way for machine learning’s value-driven deployment. What kind of AI does this book cover? The buzzword AI can mean many things, but this book is about machine learning, which is a central basis for—and what many mean by—AI. To be specific, this book covers the most vital use cases of machine learning, those designed to improve a wide range of business operations.



The Future of Competitive Strategy

Author : Mohan Subramaniam

Publisher : MIT Press

Page : 314 pages

File Size : 11,31 MB

Release : 2022-08-16

Category : Business & Economics

ISBN : 0262046997

Get eBook

Book Description

How legacy firms can combine their traditional strengths with the power of data and digital ecosystems to forge a new competitive strategy for the digital era. How can legacy firms remain relevant in the digital era? In The Future of Competitive Strategy, strategic management expert Mohan Subramaniam explains how firms can leverage both their traditional strengths and the modern-day power of data and digital ecosystems to forge a new competitive strategy. Drawing on the experiences of a range of companies, including Caterpillar, Sleep Number, and Whirlpool, he explains how firms can benefit from data’s enlarged role in modern business, develop digital ecosystems tailored to their unique business needs, and use new frameworks to harness the power of data for competitive advantage. Subramaniam presents digital ecosystems as a combination of production and consumption ecosystems, which can be used by legacy firms to unlock the value of data at various levels—from improving operational efficiencies to creating new data-driven services and transforming traditional products into digital platforms. He explores the ways sensors and the Internet of Things provide new kinds of customer data; presents the concept of digital competitors—other firms that have access to similar data; discusses the new digital capabilities that firms need to develop; and addresses privacy and security issues associated with data sharing. Who needs this book? Any firm that wants to revitalize traditional business models, offer a richer customer experience, and expand its competitive arena into new digital ecosystems.



Strategic Analytics: The Insights You Need from Harvard Business Review

Author : Harvard Business Review

Publisher : Harvard Business Press

Page : 92 pages

File Size : 35,77 MB

Release : 2020-04-21

Category : Business & Economics

ISBN : 1633698998

Get eBook

Book Description

Is your company ready for the next wave of analytics? Data analytics offer the opportunity to predict the future, use advanced technologies, and gain valuable insights about your business. But unless you're staying on top of the latest developments, your company is wasting that potential--and your competitors will be gaining speed while you fall behind. Strategic Analytics: The Insights You Need from Harvard Business Review will provide you with today's essential thinking about what data analytics are capable of, what critical talents your company needs to reap their benefits, and how to adopt analytics throughout your organization--before it's too late. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.



The End of Marketing

Author : Carlos Gil

Publisher : Kogan Page Publishers

Page : 241 pages

File Size : 28,75 MB

Release : 2019-10-03

Category : Business & Economics

ISBN : 0749497599

Get eBook

Book Description

WINNER: American Book Fest Best Book Awards 2020 - Marketing and Advertising category WINNER: NYC Big Book Award 2020 - Business: Small Business and Entrepreneurship category WINNER: BookAuthority Best New Book to Read in 2020 - Social Media Marketing category FINALIST: Business Book Awards 2020 - International Business Book category Social networks are the new norm and traditional marketing is failing in today's digital, always-on culture. Businesses across the world are having to face up to how they remain relevant in the choppy waters of the digital ocean. In an era where a YouTube star gets more daily impressions than Nike, Coca-Cola and Walmart combined, traditional marketing as we know it is dead. The End of Marketing revolutionizes the way brands, agencies and marketers should approach marketing. From how Donald Trump won the American presidency using social media and why Kim Kardashian is one of the world's biggest online brands, through to the impact of bots and automation, this book will teach you about new features and emerging platforms that will engage customers and employees. Discover bold content ideas, hear from some of the world's largest brands and content creators and find out how to build smarter paid-strategies, guaranteed to help you dominate your markets. The End of Marketing explains that no matter how easy it is to reach potential customers, the key relationship between brand and consumer still needs the human touch. Learn how to put 'social' back into social media and claim brand relevancy in a world where algorithms dominate, organic reach is dwindling and consumers don't want to be sold to, they want to be engaged.



Working with AI

Author : Thomas H. Davenport

Publisher : MIT Press

Page : 312 pages

File Size : 49,80 MB

Release : 2022-09-27

Category : Business & Economics

ISBN : 0262371197

Get eBook

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.



Big Bang Disruption

Author : Larry Downes

Publisher : Penguin

Page : 271 pages

File Size : 15,21 MB

Release : 2014-01-07

Category : Business & Economics

ISBN : 0698143388

Get eBook

Book Description

It used to take years or even decades for disruptive innovations to dethrone dominant products and services. But now any business can be devastated virtually overnight by something better and cheaper. How can executives protect themselves and harness the power of Big Bang Disruption? Just a few years ago, drivers happily spent more than $200 for a GPS unit. But as smartphones exploded in popularity, free navigation apps exceeded the performance of stand-alone devices. Eighteen months after the debut of the navigation apps, leading GPS manufacturers had lost 85 percent of their market value. Consumer electronics and computer makers have long struggled in a world of exponential technology improvements and short product life spans. But until recently, hotels, taxi services, doctors, and energy companies had little to fear from the information revolution. Those days are gone forever. Software-based products are replacing physical goods. And every service provider must compete with cloud-based tools that offer customers a better way to interact. Today, start-ups with minimal experience and no capital can unravel your strategy before you even begin to grasp what’s happening. Never mind the “innovator’s dilemma”—this is the innovator’s disaster. And it’s happening in nearly every industry. Worse, Big Bang Disruptors may not even see you as competition. They don’t share your approach to customer service, and they’re not sizing up your product line to offer better prices. You may simply be collateral damage in their efforts to win completely different markets. The good news is that any business can master the strategy of the start-ups. Larry Downes and Paul Nunes analyze the origins, economics, and anatomy of Big Bang Disruption. They identify four key stages of the new innovation life cycle, helping you spot potential disruptors in time. And they offer twelve rules for defending your markets, launching disruptors of your own, and getting out while there’s still time. Based on extensive research by the Accenture Institute for High Performance and in-depth interviews with entrepreneurs, investors, and executives from more than thirty industries, Big Bang Disruption will arm you with strategies and insights to thrive in this brave new world.