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Author: Jeremy Adamson
Publisher: John Wiley & Sons
ISBN: 1119785332
Category : Computers
Languages : en
Pages : 240
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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.
Author: Jeremy Adamson
Publisher: John Wiley & Sons
ISBN: 1119785332
Category : Computers
Languages : en
Pages : 240
Get Book
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.
Author: William M. Evan
Publisher: Prentice Hall Professional
ISBN: 9780130656469
Category : Business & Economics
Languages : en
Pages : 524
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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.
Author: Stephen P. Rice
Publisher: Univ of California Press
ISBN: 0520926579
Category : History
Languages : en
Pages : 256
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Book Description
In this innovative book, Stephen P. Rice offers a new understanding of class formation in America during the several decades before the Civil War. This was the period in the nation's early industrial development when travel by steamboat became commonplace, when the railroad altered concepts of space and time, and when Americans experienced the beginnings of factory production. These disorienting changes raised a host of questions about what machinery would accomplish. Would it promote equality or widen the distance between rich and poor? Among the most contentious questions were those focusing on the social consequences of mechanization: while machine enthusiasts touted the extent to which machines would free workers from toil, others pointed out that people needed to tend machines, and that that work was fundamentally degrading and exploitative. Minding the Machine shows how members of a new middle class laid claim to their social authority and minimized the potential for class conflict by playing out class relations on less contested social and technical terrains. As they did so, they defined relations between shopowners—and the overseers, foremen, or managers they employed—and wage workers as analogous to relations between head and hand, between mind and body, and between human and machine. Rice presents fascinating discussions of the mechanics' institute movement, the manual labor school movement, popular physiology reformers, and efforts to solve the seemingly intractable problem of steam boiler explosions. His eloquent narrative demonstrates that class is as much about the comprehension of social relations as it is about the making of social relations, and that class formation needs to be understood not only as a social struggle but as a conceptual struggle.
Author: Belinda Barnet
Publisher: Anthem Press
ISBN: 0857281968
Category : Computers
Languages : en
Pages : 192
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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.
Author: John K. Thompson
Publisher: Packt Publishing Ltd
ISBN: 180020518X
Category : Computers
Languages : en
Pages : 395
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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.
Author: Barry Dainton
Publisher: Springer Nature
ISBN: 3030642690
Category : Computers
Languages : en
Pages : 287
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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.
Author: Jon Agar
Publisher: Icon Books
ISBN: 1785782533
Category : Science
Languages : en
Pages : 134
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Book Description
The history of the computer is entwined with that of the modern world and most famously with the life of one man, Alan Turing. How did this device, which first appeared a mere 50 years ago, come to structure and dominate our lives so totally? An enlightening mini-biography of a brilliant but troubled man.
Author: Julien Offray de La Mettrie
Publisher: Hackett Publishing
ISBN: 9780872201941
Category : Philosophy
Languages : en
Pages : 100
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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.
Author: Jenny Dearborn
Publisher: John Wiley & Sons
ISBN: 111938222X
Category : Business & Economics
Languages : en
Pages : 272
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Book Description
Data is your most valuable leadership asset—here's how to use it The Data Driven Leader presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company’s thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book’s predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization. HR and other leaders cannot afford to overlook the power and competitive advantages of data-driven decision-making and strategies. This book reflects the growing trend of CEOs choosing analytics-minded business leaders to head HR, at a time when workplaces everywhere face game-changing forces including automation, robotics and artificial intelligence. It is urgent that human resources leaders embrace analytics, not only to remain professionally relevant but also to help their organizations successfully navigate this digital transformation. HR professionals can and must: Understand essential data science principles and corporate analytics models Identify and execute effective data analytics initiatives Boost HR and company productivity and performance with metrics that matter Shape an analytics-centric culture that generates data driven leaders Most organizations capture and report data, but data is useless without analysis that leads to action. The Data Driven Leader shows you how to use this tremendous asset to lead your organization higher.
Author: Julian Jaynes
Publisher: Houghton Mifflin Harcourt
ISBN: 0547527543
Category : Psychology
Languages : en
Pages : 580
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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
