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Organize, plan, and build an exceptional data analytics team within your organization In Minding the Machines: Building and Leading Data Science and Analytics Teams, AI and analytics strategy expert Jeremy Adamson delivers an accessible and insightful roadmap to structuring and leading a successful analytics team. The book explores the tasks, strategies, methods, and frameworks necessary for an organization beginning their first foray into the analytics space or one that is rebooting its team for the umpteenth time in search of success. In this book, you’ll discover: A focus on the three pillars of strategy, process, and people and their role in the iterative and ongoing effort of building an analytics team Repeated emphasis on three guiding principles followed by successful analytics teams: start early, go slow, and fully commit The importance of creating clear goals and objectives when creating a new analytics unit in an organization Perfect for executives, managers, team leads, and other business leaders tasked with structuring and leading a successful analytics team, Minding the Machines is also an indispensable resource for data scientists and analysts who seek to better understand how their individual efforts fit into their team’s overall results.
A provocative and authoritative guide to understanding the questions surrounding technology disasters that occur, with a blueprint for the prevention of future disasters, this book looks at over three dozen case studies and the lessons learned from them.
"Minding the Machine is an illuminating contribution to our understanding of antebellum mechanization and the origins of the modern middle class. Carefully focusing on key antebellum discussions of mechanical knowledge, training, control, opportunity, bodily and mental health, Rice convincingly shows how deeply these were pervaded by conceptions of social and class authority."—John F. Kasson, author of Amusing the Million: Coney Island at the Turn of the Century "Stephen Rice has brought provocative questions and fresh research to bear on that vexed topic-the origins of the American middle class. Using the increased mechanization of production during the antebellum decades as his focus, he has provided a fascinating picture of workplace changes and the cultural responses they elicited."—Joyce Appleby, author of Inheriting the Revolution: The First Generation of Americans "Rice's book explores the intellectual processes by which the emerging middle class in antebellum America strove to understand and control the new industrial order, mapping class relations onto less contested social and technical terrain. Within strange and unusual places and movements seemingly removed from the center of workplace change and conflict—such as health reform and the creation of chess playing automatons—crucial questions of power and authority were debated."—David Zonderman, author of Aspirations and Anxieties: New England Workers and the Mechanized Factory System, 1815-1850
Bringing together literary scholars, computer scientists, ethicists, philosophers of mind, and scholars from affiliated disciplines, this collection of essays offers important and timely insights into the pasts, presents, and, above all, possible futures of Artificial Intelligence. This book covers topics such as ethics and morality, identity and selfhood, and broader issues about AI, addressing questions about the individual, social, and existential impacts of such technologies. Through the works of science fiction authors such as Isaac Asimov, Stanislaw Lem, Ann Leckie, Iain M. Banks, and Martha Wells, alongside key visual productions such as Ex Machina, Westworld, and Her, contributions illustrate how science fiction might inform potential futures as well as acting as a springboard to bring disciplinary knowledge to bear on significant developments of Artificial Intelligence. Addressing a broad, interdisciplinary audience, both expert and non-expert readers gain an in-depth understanding of the wide range of pressing issues to which Artificial Intelligence gives rise, and the ways in which science fiction narratives have been used to represent them. Using science fiction in this manner enables readers to see how even fictional worlds and imagined futures have very real impacts on how we understand these technologies. As such, readers are introduced to theoretical positions on Artificial Intelligence through fictional works as well as encouraged to reflect on the diverse aspects of Artificial Intelligence through its many philosophical, social, legal, scientific, and cultural ramifications.
Mentality and Machines was first published in 1985. Minnesota Archive Editions uses digital technology to make long-unavailable books once again accessible, and are published unaltered from the original University of Minnesota Press editions. Mentality and Machines — with a new preface and an extended postscript—is a general essay on the philosophy of mind, oriented to philosophical and psychological questions about real as well as imagined, robots and machines. The second edition retains all of the essays from the original book, including Gunderson's influential critique ("The Imitation Game") of A.M. Turing's treatment of the question "Can machines think?" and his controversial distinction between program-receptive and program-resistant aspects of the mind. This edition's postscript includes further reflections on these themes and others, and relates them to recent writings of other philosophers and computer scientists.
Does it make sense to speak of the "mind of God"? Are humans unique? Do we have souls?Our growing explorations of the cognitive sciences pose significant challenges to and opportunities for theological reflection. Gregory Peterson introduces these sciences -- neuroscience, artificial intelligence, animal cognition, linguistics, and psychology -- that specifically contribute to the new picture and their philosophical underpinnings. He shows its implications for rethinking longstanding Western assumptions about the unity of the self, the nature of consciousness, free will, inherited sin, and religious experience. Such findings also illumine our understanding of God's own mind, the God-world relationship, new notion of divine design, and the implications of a universe of evolving minds.Peterson is gifted at explaining scientific concepts and drawing their implications for religious belief and theology. His work demonstrates how new work in cognitive sciences upends and reconfigures many popular assumptions about human uniqueness, mind-body relationship, and how we speak of divine and human intelligence.
This book explores the history of hypertext, an influential concept that forms the underlying structure of the World Wide Web and innumerable software applications. Barnet tells both the human and the technological story by weaving together contemporary literature and her exclusive interviews with those at the forefront of hypertext innovation, tracing its evolutionary roots back to the analogue machine imagined by Vannevar Bush in 1945.
Algorithms will soon know more about us than we know ourselves Where should machine automation end? Is it acceptable to have a digital assistant arrange your calendar, but not to have a robot spouse? Are companion robots acceptable for seniors in need of comfort, but not okay for toddlers exposed to emotional software that could influence their behavior? Is it desirable to live a life within the virtual reality of Facebook’s Oculus Rift, but not if your thoughts are sold to advertisers who manipulate your purchases? We’ve entered an era where a myriad of personalization algorithms influence our every decision, and the lines between human assistance, automation, and extinction have blurred. We need to create ethical standards for the Artificial Intelligence usurping our lives, and allow individuals to control their identity based on their values. Otherwise, we sacrifice our humanity for productivity versus purpose and for profits versus people. Featuring pragmatic solutions drawing on economics, emerging technologies, and positive psychology, Heartificial Intelligence provides the first values-driven approach to algorithmic living—a definitive roadmap to help humanity embrace the present and positively define their future. Each chapter opens with a fictional vignette, helping readers imagine how they would respond to various Artificial Intelligence scenarios while demonstrating the need to codify their values, as the algorithms dominating society today are already doing. Funny, poignant, and accessible, this book paints a vivid portrait of how our lives might look in either a dystopia of robotic and corporate dominance, or a utopia where humans use technology to enhance our natural abilities to evolve into a long-lived, super-intelligent, and altruistic species.
Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI Key FeaturesLearn to create an operationally effective advanced analytics team in a corporate environmentSelect and undertake projects that have a high probability of success and deliver the improved top and bottom-line resultsUnderstand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your teamBook Description In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success. The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs. The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects. By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization. What you will learnAvoid organizational and technological pitfalls of moving from a defined project to a production environmentEnable team members to focus on higher-value work and tasksBuild Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organizationOutsource certain projects to competent and capable third partiesSupport the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analyticsAnalyze the operational area, the processes, the data, and the organizational resistanceWho this book is for This book is for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building, delivering and ensuring business success through advanced analytics and artificial intelligence systems and applications. At least 5 to 10 years of experience in driving your organization to a higher level of efficiency will be helpful.
This book looks at Wall Street wonders Warren Buffet, Benjamin Graham, and other legends and shares how you can utilize their secrets to unimaginable success! It’s time to put your money to work the smart way and stop chasing quick payoffs that never turn out. That seductive stock tip you just overheard? That’s your ticket to flushing your savings down the toilet. The story you saw on a promising new product? Only those who invested before the story came out have any chance of a solid payout. If you want to succeed in the market, you need to learn how to invest based on value, selecting stocks that will continue to enrich you for years to come. By learning the keys to value investing, Money Machine will teach you how to: Judge a stock by the cash it generates Determine the stock’s intrinsic value Use key investment benchmarks such as price-earnings ratio and dividend-price ratio Recognize stock market bubbles and profit from panics Avoid psychological traps that can trip you up Investing in the market doesn’t have to be reckless speculation. Invest in value, not ventures, and find the financial success all those gamblers are still looking for!