Download or read book Summary of Eric Siegel s The AI Playbook written by Milkyway Media and published by Milkyway Media. This book was released on 2024-03-11 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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...

Download or read book Predictive Analytics written by Eric Siegel and published by John Wiley & Sons. This book was released on 2016-01-13 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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 consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

Download or read book Decision Management Systems written by James Taylor and published by Pearson Education. This book was released on 2011-10-13 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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

Download or read book The AI Advantage written by Thomas H. Davenport and published by MIT Press. This book was released on 2019-08-06 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book How to Castrate a Bull written by Dave Hitz and published by John Wiley & Sons. This book was released on 2009-01-20 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dave Hitz likes to solve fun problems. He didn’t set out to be a Silicon Valley icon, a business visionary, or even a billionaire. But he became all three. It turns out that business is a mosaic of interesting puzzles like managing risk, developing and reversing strategies, and looking into the future by deconstructing the past. As a founder of NetApp, a data storage firm that began as an idea scribbled on a placemat and now takes in $4 billion a year, Hitz has seen his company go through every major cycle in business—from the Jack-of-All-Trades mentality of a start-up, through the tumultuous period of the IPO and the dot-com bust, and finally to a mature enterprise company. NetApp is one of the fastest-growing computer companies ever, and for six years in a row it has been on Fortune magazine’s list of Best Companies to Work For. Not bad for a high school dropout who began his business career selling his blood for money and typing the names of diseases onto index cards. With colorful examples and anecdotes, How to Castrate a Bull is a story for everyone interested in understanding business, the reasons why companies succeed and fail, and how powerful lessons often come from strange and unexpected places. Dave Hitz co-founded NetApp in 1992 with James Lau and Michael Malcolm. He served as a programmer, marketing evangelist, technical architect, and vice president of engineering. Presently, he is responsible for future strategy and direction for the company. Before his career in Silicon Valley, Dave worked as a cowboy, where he got valuable management experience by herding, branding, and castrating cattle.

Download or read book The AI Playbook written by Eric Siegel and published by MIT Press. This book was released on 2024-02-06 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Future of Competitive Strategy written by Mohan Subramaniam and published by MIT Press. This book was released on 2022-08-16 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Chinese Lady written by Nancy E. Davis and published by Oxford University Press. This book was released on 2022 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1834, a Chinese woman named Afong Moy arrived in America as both a prized guest and an advertisement for a merchant firm--a promotional curiosity with bound feet and a celebrity used to peddle exotic wares from the East. This first biography of Afong Moy explores how she shaped Americans' impressions of China, while living as a stranger in a foreign land.

Download or read book Strategic Analytics The Insights You Need from Harvard Business Review written by Harvard Business Review and published by Harvard Business Press. This book was released on 2020-04-21 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Little Book That Builds Wealth written by Pat Dorsey and published by John Wiley & Sons. This book was released on 2010-12-28 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dieser praktische Leitfaden macht Anleger mit dem Economic Moat Konzept vertraut, der "Zauberformel" des Morningstar, mit der sich erstklassige Investmentchancen aufspüren lassen. Das Konzept ist keineswegs neu: Es wurde zunächst durch Benjamin Graham und Warren Buffett populär, wurde dann aber lange vernachlässigt. "The Little Book that Builds Wealth" erklärt ganz genau, wie man den Economic Moat, d.h. die Wettbewerbsbarriere bzw. den Wettbewerbsvorteil (wie z.B. geringe Produktionskosten, ausgebautes Vertriebsnetz, gutes Markenimage etc.) ermittelt, durch den sich ein Unternehmen deutlich von Konkurrenzunternehmen abgrenzt. Dabei geht es aber weder um reines Value Investing, noch um reines Growth Investing, sondern vielmehr darum, erstklassige Nischen-Wachstumswerte zu einem attraktiven Kurs zu kaufen. Das Buch demonstriert anschaulich Schritt für Schritt, was einen Economic Moat ausmacht, wie man ihn ermittelt, wie man verschiedene Moats gegeneinander abwägt, und wie man auf der Basis dieser Daten am besten eine Investmententscheidung trifft. Mit begleitender Website. Sie wird vom Morningstar betrieben und enthält eine Reihe von Tools und Features, mit deren Hilfe der Leser das Gelernte in der Praxis testen kann. Autor Pat Dorsey ist ein renommierter Finanzexperte. Er ist Chef der Morningstar Equity Research und Kolumnist bei Morningstar.com. Ein neuer Band aus der beliebten 'Little Book'-Reihe.

Download or read book Managing the Unmanageable written by Mickey W. Mantle and published by Addison-Wesley. This book was released on 2012-09-16 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Mantle and Lichty have assembled a guide that will help you hire, motivate, and mentor a software development team that functions at the highest level. Their rules of thumb and coaching advice are great blueprints for new and experienced software engineering managers alike.” —Tom Conrad, CTO, Pandora “I wish I’d had this material available years ago. I see lots and lots of ‘meat’ in here that I’ll use over and over again as I try to become a better manager. The writing style is right on, and I love the personal anecdotes.” —Steve Johnson, VP, Custom Solutions, DigitalFish All too often, software development is deemed unmanageable. The news is filled with stories of projects that have run catastrophically over schedule and budget. Although adding some formal discipline to the development process has improved the situation, it has by no means solved the problem. How can it be, with so much time and money spent to get software development under control, that it remains so unmanageable? In Managing the Unmanageable: Rules, Tools, and Insights for Managing Software People and Teams , Mickey W. Mantle and Ron Lichty answer that persistent question with a simple observation: You first must make programmers and software teams manageable. That is, you need to begin by understanding your people—how to hire them, motivate them, and lead them to develop and deliver great products. Drawing on their combined seventy years of software development and management experience, and highlighting the insights and wisdom of other successful managers, Mantle and Lichty provide the guidance you need to manage people and teams in order to deliver software successfully. Whether you are new to software management, or have already been working in that role, you will appreciate the real-world knowledge and practical tools packed into this guide.

Download or read book Get Smart written by Brian Tracy and published by Penguin. This book was released on 2017-03-14 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the secrets for how to think and act like the most successful people in the world and reap the rewards! In today’s constantly changing world, you have to be smart to get ahead. But the average person uses only about two percent of their mental ability. How can we learn to unleash our brain’s full potential to maximize our opportunities, like the most successful people do? In Get Smart!, acclaimed success expert and bestselling author Brian Tracy reveals simple, proven ways to tap into our natural thinking talents and abilities and make quantum leaps toward achieving our dreams. In this indispensable guide, you’ll learn to: · Train your brain to think in ways that create successful results · Recognize and exploit growth opportunities in any situation · Identify and eliminate negative patterns holding you back · Plan, act, and achieve goals with greater precision and speed Whether you want to increase sales, bolster creativity, or better navigate life’s unexpected changes, Get Smart! will help you tap into your powerful mental resources to obtain the results you want and reap the rewards successful people enjoy.

Download or read book AI Supremacy written by Daniel Wagner and published by Createspace Independent Publishing Platform. This book was released on 2018-09-08 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is having a profound impact on individuals, businesses, and governments, but what is required to get ahead and stay ahead of the curve AI is not well understood. AI Supremacy is a comprehensive guide to AI's impact on a societal and global level, and provides a vision for how AI and machine learning will likely influence the way business is done, societies function, and governments interact in the future. Daniel Wagner, a thought leader in risk management and current affairs, and Keith Furst, an expert in data management and financial crimes, have crafted an insightful, entertaining, and unique book that takes readers on a wild ride through the canyons and valleys of AI to examine many of its most important sub-topics. From globalization to jobs, financial services to the role of governments, the nexus with cyber risk to spying, and from China's quest to international relations, the authors have delved deeply into the subject matter. The race for AI supremacy is about more than establishing a competitive position in the global marketplace for innovative applications and technological prowess - it is about anticipation, adopting the right mind set, and having the right resources, a futuristic orientation, and the ability to execute. While few organizations and governments have achieved the right mix to lead in the race for AI supremacy, those that have already possess a substantial lead. Those that have not are simply falling further and further behind. Can those that are not already in the race, get in the race with any realistic hope of catching up? Can those who are already in the race ever catch up with the leaders? Who will win in the end? Should AI be feared or embraced? These are among the many questions Wagner and Furst explore in this enticing book.

Download or read book Behind Every Good Decision written by Piyanka Jain and published by AMACOM. This book was released on 2014-11-05 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a misconception in business that the only data that matters is BIG data, and that elaborate tools and data scientists are required to extract any practical information. However, nothing could be further from the truth. If you feel that you can’t understand how to read, let alone implement, these complex software programs that crunch the data and spit out more data, that will no longer be a problem! Authors and analytics experts Piyanka Jain and Puneet Sharma demystify the process of business analytics and demonstrate how professionals at any level can take the information at their disposal and in only five simple steps--using only Excel as a tool--make the decision necessary to increase revenue, decrease costs, improve product, or whatever else is being asked of them at that time. In Behind Every Good Decision, you will learn how to: Clarify the business question Lay out a hypothesis-driven plan Pull relevant data Convert it to insights Make decisions that make an impact Packed with examples and exercises, this refreshingly accessible book explains the four fundamental analytic techniques that can help solve a surprising 80 percent of all business problems. It doesn’t take a numbers person to know that is a formula you need!

Download or read book China s Influence and American Interests written by Larry Diamond and published by Hoover Press. This book was released on 2019-08-01 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: While Americans are generally aware of China's ambitions as a global economic and military superpower, few understand just how deeply and assertively that country has already sought to influence American society. As the authors of this volume write, it is time for a wake-up call. In documenting the extent of Beijing's expanding influence operations inside the United States, they aim to raise awareness of China's efforts to penetrate and sway a range of American institutions: state and local governments, academic institutions, think tanks, media, and businesses. And they highlight other aspects of the propagandistic “discourse war” waged by the Chinese government and Communist Party leaders that are less expected and more alarming, such as their view of Chinese Americans as members of a worldwide Chinese diaspora that owes undefined allegiance to the so-called Motherland.Featuring ideas and policy proposals from leading China specialists, China's Influence and American Interests argues that a successful future relationship requires a rebalancing toward greater transparency, reciprocity, and fairness. Throughout, the authors also strongly state the importance of avoiding casting aspersions on Chinese and on Chinese Americans, who constitute a vital portion of American society. But if the United States is to fare well in this increasingly adversarial relationship with China, Americans must have a far better sense of that country's ambitions and methods than they do now.

Download or read book Decide and Conquer written by David Siegel and published by HarperCollins Leadership. This book was released on 2022-03-08 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Success boils down to one thing: making good decisions. Learn the right framework now that can make all the difference later when faced with terrible options, deep anxiety and fear of failure. Access the decision framework David Siegel used when he took over as CEO of Meetup, the world’s leading platform for making connections and finding your community. Let David’s success during one of the most tumultuous times in his company’s history help guide you on your own path. Decide and Conquer helps all leaders navigate the big decisions that will impact their future and make their organizations a success. David outlines the 44 challenges leaders face when starting a new position, then shows you the decision framework he applied to overcome challenges in his own role. David takes you on an epic journey of corporate and personal survival that includes industry titans like Adam Neumann, Barry Diller, Jack Welch, Bill Ackman, and other leaders. In Decide and Conquer, you will learn to: Apply principles like open communication, transparency, and kindness to inform great decision making. Set yourself up to succeed, even before you start, by removing potential roadblocks before they become a problem. Be a bold and decisive leader and not succumb to fear. By applying the principles he had learned in previous leadership positions, David was able to make the many critical decisions that would mean life or death for Meetup when WeWork decided to sell the company. From deciding to accept the position and negotiating terms to managing a seemingly endless series of crises during the sale and global pandemic, Decide and Conquer walks readers through the key decisions they will face with invaluable advice for each one.

Download or read book 97 Things About Ethics Everyone in Data Science Should Know written by Bill Franks and published by O'Reilly Media. This book was released on 2020-08-06 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most of the high-profile cases of real or perceived unethical activity in data science aren’t matters of bad intent. Rather, they occur because the ethics simply aren’t thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically. Data science professionals, managers, and tech leaders will gain a better understanding of ethics through powerful, real-world best practices. Articles include: Ethics Is Not a Binary Concept—Tim Wilson How to Approach Ethical Transparency—Rado Kotorov Unbiased ≠ Fair—Doug Hague Rules and Rationality—Christof Wolf Brenner The Truth About AI Bias—Cassie Kozyrkov Cautionary Ethics Tales—Sherrill Hayes Fairness in the Age of Algorithms—Anna Jacobson The Ethical Data Storyteller—Brent Dykes Introducing Ethicize™, the Fully AI-Driven Cloud-Based Ethics Solution!—Brian O’Neill Be Careful with "Decisions of the Heart"—Hugh Watson Understanding Passive Versus Proactive Ethics—Bill Schmarzo