Minding the Machines


Book Description

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.




Minding the Machines


Book Description

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


Book Description

"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




Memory Machines


Book Description

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.




Minding the Future


Book Description

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.




Building Analytics Teams


Book Description

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.




Data Teams


Book Description




Heartificial Intelligence


Book Description

As we program machines to be more like humans, how will they know what we value, if we don't know ourselves? The notion of robots gaining consciousness is beginning to become a reality, but the future of human happiness is dependent on our ability to teach machines what we value the most today. Featuring pragmatic solutions drawing on economics, emerging technologies, and positive psychology, Heartificial Intelligence provides a road map to help readers embrace the present and better define their future. Using fictional vignettes to help readers relate to larger concepts, this book paints a vivid portrait of how our lives might look in either a dystopia of robot dominance or a utopia where we use technology to enhance our natural abilities and evolve into a long-lived, super-intelligent, and caring species.




Man a Machine ; And, Man a Plant


Book Description

The first modern translation of the complete texts of La Mettrie's pioneering L'Homme machine and L'Homme plante, first published in 1747 and 1748, respectively, this volume also includes translations of the advertisement and dedication to L'Homme machine. Justin Leiber's introduction illuminates the radical thinking and advocacy of the passionate La Mettrie and provides cogent analysis of La Mettrie's relationship to such important philosophical figures as Descartes, Malebranche, and Locke, and of his lasting influence on the development of materialism, cognitive studies, linguistics, and other areas of intellectual inquiry.




The Origin of Consciousness in the Breakdown of the Bicameral Mind


Book Description

National Book Award Finalist: “This man’s ideas may be the most influential, not to say controversial, of the second half of the twentieth century.”—Columbus Dispatch At the heart of this classic, seminal book is Julian Jaynes's still-controversial thesis that human consciousness did not begin far back in animal evolution but instead is a learned process that came about only three thousand years ago and is still developing. The implications of this revolutionary scientific paradigm extend into virtually every aspect of our psychology, our history and culture, our religion—and indeed our future. “Don’t be put off by the academic title of Julian Jaynes’s The Origin of Consciousness in the Breakdown of the Bicameral Mind. Its prose is always lucid and often lyrical…he unfolds his case with the utmost intellectual rigor.”—The New York Times “When Julian Jaynes . . . speculates that until late in the twentieth millennium BC men had no consciousness but were automatically obeying the voices of the gods, we are astounded but compelled to follow this remarkable thesis.”—John Updike, The New Yorker “He is as startling as Freud was in The Interpretation of Dreams, and Jaynes is equally as adept at forcing a new view of known human behavior.”—American Journal of Psychiatry