The Algorithmic Leader

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The Algorithmic Leader

Author : Mike Walsh
Publisher : Page Two
Page : 0 pages
File Size : 52,9 Mb
Release : 2019-03-12
Category : Business & Economics
ISBN : 9781989025338

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The Algorithmic Leader by Mike Walsh Pdf

The greatest threat we face is not robots replacing us, but our reluctance to reinvent ourselves. We live in an age of wonder: cars that drive themselves, devices that anticipate our needs, and robots capable of everything from advanced manufacturing to complex surgery. Automation, algorithms, and AI will transform every facet of daily life, but are we prepared for what that means for the future of work, leadership, and creativity? While many already fear that robots will take their jobs, rapid advancements in machine intelligence raise a far more important question: what is the true potential of human intelligence in the twenty-first century? Futurist and global nomad Mike Walsh has synthesized years of research and interviews with some of the world's top business leaders, AI pioneers and data scientists into a set of 10 principles about what it takes to succeed in the algorithmic age. Across disparate cultures, industries, and timescales, Walsh brings to life the history and future of ideas like probabilistic thinking, machine learning, digital ethics, disruptive innovation, and de-centralized organizations as a foundation for a radically new approach to making decisions, solving problems, and leading people. The Algorithmic Leader offers a hopeful and practical guide for leaders of all types, and organizations of all sizes, to survive and thrive in this era of unprecedented change. By applying Walsh's 10 core principles, readers will be able to design their own journey of personal transformation, harness the power of algorithms, and chart a clear path ahead--for their company, their team, and themselves.

The Algorithmic Leader

Author : Mike Walsh
Publisher : Unknown
Page : 128 pages
File Size : 41,6 Mb
Release : 2019
Category : Electronic books
ISBN : 198902534X

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The Algorithmic Leader by Mike Walsh Pdf

Competing in the Age of AI

Author : Marco Iansiti,Karim R. Lakhani
Publisher : Harvard Business Press
Page : 175 pages
File Size : 43,6 Mb
Release : 2020-01-07
Category : Business & Economics
ISBN : 9781633697638

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Competing in the Age of AI by Marco Iansiti,Karim R. Lakhani Pdf

"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Distributed Algorithms

Author : Wan Fokkink
Publisher : MIT Press
Page : 248 pages
File Size : 49,5 Mb
Release : 2013-12-06
Category : Computers
ISBN : 9780262318952

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Distributed Algorithms by Wan Fokkink Pdf

A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation. This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. It avoids mathematical argumentation, often a stumbling block for students, teaching algorithmic thought rather than proofs and logic. This approach allows the student to learn a large number of algorithms within a relatively short span of time. Algorithms are explained through brief, informal descriptions, illuminating examples, and practical exercises. The examples and exercises allow readers to understand algorithms intuitively and from different perspectives. Proof sketches, arguing the correctness of an algorithm or explaining the idea behind fundamental results, are also included. An appendix offers pseudocode descriptions of many algorithms. Distributed algorithms are performed by a collection of computers that send messages to each other or by multiple software threads that use the same shared memory. The algorithms presented in the book are for the most part “classics,” selected because they shed light on the algorithmic design of distributed systems or on key issues in distributed computing and concurrent programming. Distributed Algorithms can be used in courses for upper-level undergraduates or graduate students in computer science, or as a reference for researchers in the field.

What Algorithms Want

Author : Ed Finn
Publisher : MIT Press
Page : 267 pages
File Size : 41,5 Mb
Release : 2017-03-10
Category : Computers
ISBN : 9780262035927

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What Algorithms Want by Ed Finn Pdf

The gap between theoretical ideas and messy reality, as seen in Neal Stephenson, Adam Smith, and Star Trek. We depend on—we believe in—algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It's as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations—the marriage vow, the shaman's curse—do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm—in practical terms, “a method for solving a problem”—has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking. Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson's Snow Crash to Diderot's Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost's satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google's goal of anticipating our questions, Uber's cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things. If we want to understand the gap between abstraction and messy reality, Finn argues, we need to build a model of “algorithmic reading” and scholarship that attends to process, spearheading a new experimental humanities.

Algorithms Are Not Enough

Author : Herbert L. Roitblat
Publisher : MIT Press
Page : 340 pages
File Size : 49,5 Mb
Release : 2020-10-13
Category : Computers
ISBN : 9780262044127

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Algorithms Are Not Enough by Herbert L. Roitblat Pdf

Why a new approach is needed in the quest for general artificial intelligence. Since the inception of artificial intelligence, we have been warned about the imminent arrival of computational systems that can replicate human thought processes. Before we know it, computers will become so intelligent that humans will be lucky to kept as pets. And yet, although artificial intelligence has become increasingly sophisticated—with such achievements as driverless cars and humanless chess-playing—computer science has not yet created general artificial intelligence. In Algorithms Are Not Enough, Herbert Roitblat explains how artificial general intelligence may be possible and why a robopocalypse is neither imminent, nor likely. Existing artificial intelligence, Roitblat shows, has been limited to solving path problems, in which the entire problem consists of navigating a path of choices—finding specific solutions to well-structured problems. Human problem-solving, on the other hand, includes problems that consist of ill-structured situations, including the design of problem-solving paths themselves. These are insight problems, and insight is an essential part of intelligence that has not been addressed by computer science. Roitblat draws on cognitive science, including psychology, philosophy, and history, to identify the essential features of intelligence needed to achieve general artificial intelligence. Roitblat describes current computational approaches to intelligence, including the Turing Test, machine learning, and neural networks. He identifies building blocks of natural intelligence, including perception, analogy, ambiguity, common sense, and creativity. General intelligence can create new representations to solve new problems, but current computational intelligence cannot. The human brain, like the computer, uses algorithms; but general intelligence, he argues, is more than algorithmic processes.

A Human's Guide to Machine Intelligence

Author : Kartik Hosanagar
Publisher : Penguin
Page : 274 pages
File Size : 40,7 Mb
Release : 2019-03-12
Category : Business & Economics
ISBN : 9780525560890

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A Human's Guide to Machine Intelligence by Kartik Hosanagar Pdf

A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.

Distributed Algorithms

Author : Wan Fokkink
Publisher : MIT Press
Page : 242 pages
File Size : 49,8 Mb
Release : 2013-12-06
Category : Computers
ISBN : 9780262026772

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Distributed Algorithms by Wan Fokkink Pdf

A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation.

Enterprise Artificial Intelligence Transformation

Author : Rashed Haq
Publisher : John Wiley & Sons
Page : 368 pages
File Size : 45,5 Mb
Release : 2020-06-23
Category : Business & Economics
ISBN : 9781119665939

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Enterprise Artificial Intelligence Transformation by Rashed Haq Pdf

Enterprise Artificial Intelligence Transformation AI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the world, plain and simple. That's why AI mastery is such a sought-after skill for tech professionals. Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He shares that expertise in the new book, Enterprise Artificial Intelligence Transformation. The first of its kind, this book grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. As AI continues to grow into a necessary feature for many businesses, more and more leaders are interested in harnessing the technology within their own organizations. In this new book, leaders will learn to master AI fundamentals, grow their career opportunities, and gain confidence in machine learning. Enterprise Artificial Intelligence Transformation covers a wide range of topics, including: Real-world AI use cases and examples Machine learning, deep learning, and slimantic modeling Risk management of AI models AI strategies for development and expansion AI Center of Excellence creating and management If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in Enterprise Artificial Intelligence Transformation.

The Algorithmic Foundations of Differential Privacy

Author : Cynthia Dwork,Aaron Roth
Publisher : Unknown
Page : 286 pages
File Size : 50,5 Mb
Release : 2014
Category : Computers
ISBN : 1601988184

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The Algorithmic Foundations of Differential Privacy by Cynthia Dwork,Aaron Roth Pdf

The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.

The Constitution of Algorithms

Author : Florian Jaton
Publisher : MIT Press
Page : 401 pages
File Size : 53,9 Mb
Release : 2021-04-27
Category : Computers
ISBN : 9780262542142

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The Constitution of Algorithms by Florian Jaton Pdf

A laboratory study that investigates how algorithms come into existence. Algorithms--often associated with the terms big data, machine learning, or artificial intelligence--underlie the technologies we use every day, and disputes over the consequences, actual or potential, of new algorithms arise regularly. In this book, Florian Jaton offers a new way to study computerized methods, providing an account of where algorithms come from and how they are constituted, investigating the practical activities by which algorithms are progressively assembled rather than what they may suggest or require once they are assembled.

Algorithmic Culture

Author : Stefka Hristova,Jennifer Daryl Slack,Soonkwan Hong
Publisher : Lexington Books
Page : 219 pages
File Size : 53,7 Mb
Release : 2020-11-24
Category : Social Science
ISBN : 9781793635747

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Algorithmic Culture by Stefka Hristova,Jennifer Daryl Slack,Soonkwan Hong Pdf

Algorithmic Culture: How Big Data and Artificial Intelligence are Transforming Everyday Life explores the complex ways in which algorithms and big data, or algorithmic culture, are simultaneously reshaping everyday culture while perpetuating inequality and intersectional discrimination. Contributors situate issues of humanity, identity, and culture in relation to free will, surveillance, capitalism, neoliberalism, consumerism, solipsism, and creativity, offering a critique of the myriad constraints enacted by algorithms. This book argues that consumers are undergoing an ontological overhaul due to the enhanced manipulability and increasingly mandatory nature of algorithms in the market, while also positing that algorithms may help navigate through chaos that is intrinsically present in the market democracy. Ultimately, Algorithmic Culture calls attention to the present-day cultural landscape as a whole as it has been reconfigured and re-presented by algorithms.

CEO Excellence

Author : Carolyn Dewar,Scott Keller,Vikram Malhotra
Publisher : Simon and Schuster
Page : 384 pages
File Size : 53,7 Mb
Release : 2022-03-15
Category : Business & Economics
ISBN : 9781982179670

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CEO Excellence by Carolyn Dewar,Scott Keller,Vikram Malhotra Pdf

"Based on extensive interviews with today's . . . corporate leaders, this look at how the best CEOs do their jobs focuses on the mindsets and actions that foster an environment of excellence"--

The Myth of the Strong Leader

Author : Archie Brown
Publisher : Basic Books
Page : 482 pages
File Size : 43,8 Mb
Release : 2014-04-08
Category : Political Science
ISBN : 9780465080977

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The Myth of the Strong Leader by Archie Brown Pdf

From one of the world's preeminent political historians, a magisterial study of political leadership around the world from the advent of parliamentary democracy to the age of Obama. All too frequently, leadership is reduced to a simple dichotomy: the strong versus the weak. Yet, there are myriad ways to exercise effective political leadership -- as well as different ways to fail. We blame our leaders for economic downfalls and praise them for vital social reforms, but rarely do we question what makes some leaders successful while others falter. In this magisterial and wide-ranging survey of political leadership over the past hundred years, renowned Oxford politics professor Archie Brown challenges the widespread belief that strong leaders -- meaning those who dominate their colleagues and the policy-making process -- are the most successful and admirable. In reality, only a minority of political leaders will truly make a lasting difference. Though we tend to dismiss more collegial styles of leadership as weak, it is often the most cooperative leaders who have the greatest impact. Drawing on extensive research and decades of political analysis and experience, Brown illuminates the achievements, failures and foibles of a broad array of twentieth century politicians. Whether speaking of redefining leaders like Franklin Delano Roosevelt, Lyndon Johnson, and Margaret Thatcher, who expanded the limits of what was politically possible during their time in power, or the even rarer transformational leaders who played a decisive role in bringing about systemic change -- Charles de Gaulle, Mikhail Gorbachev and Nelson Mandela, among them -- Brown challenges our commonly held beliefs about political efficacy and strength. Overturning many of our assumptions about the twentieth century's most important figures, Brown's conclusions are both original and enlightening. The Myth of the Strong Leader compels us to reassess the leaders who have shaped our world - and to reconsider how we should choose and evaluate those who will lead us into the future.

Leadership by Algorithm

Author : David De Cremer
Publisher : Harriman House Limited
Page : 179 pages
File Size : 50,6 Mb
Release : 2020-05-26
Category : Business & Economics
ISBN : 9780857198297

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Leadership by Algorithm by David De Cremer Pdf

With artificial intelligence on the rise, the way we run our organisations will change—and drastically. But what exactly will that future look like? And who will take the leading role: machines or people? In this compelling new book, leading management guru David De Cremer identifies the key areas where algorithms will collide with human skills, and assesses the likely outcomes. Will your next boss be a robot? Can an AI boss display the human qualities that define a good leader: compassion, empathy, imagination, ethics, and strategic awareness? Drawing on his own research findings, and those from thought leaders around the world, the author presents fascinating insights into the challenges that an automated work environment poses for organisations of the future. Leadership by Algorithm offers some startling conclusions that make clear the true nature of the power struggle between man and machine. It also identifies the leadership qualities needed to deal with this struggle most effectively.