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.

Cognitive science is among the most fascinating intellectual achievements of the modern era. The quest to understand the mind is an ancient one. But modern science has offered new insights and techniques that have revolutionized this enquiry. Oxford University Press now presents a masterlyhistory of the field, told by one of its most eminent practitioners.Psychology is the thematic heart of cognitive science, which aims to understand human (and animal) minds. But its core theoretical ideas are drawn from cybernetics and artificial intelligence, and many cognitive scientists try to build functioning models of how the mind works. In that sense,Margaret Boden suggests, its key insight is that mind is a (very special) machine. Because the mind has many different aspects, the field is highly interdisciplinary. It integrates psychology not only with cybernetics/AI, but also with neuroscience and clinical neurology; with the philosophy ofmind, language, and logic; with linguistic work on grammar, semantics, and communication; with anthropological studies of cultures; and with biological (and A-Life) research on animal behaviour, evolution, and life itself. Each of these disciplines, in its own way, asks what the mind is, what itdoes, how it works, how it develops---and how it is even possible.Boden traces the key questions back to Descartes's revolutionary writings, and to the ideas of his followers--and his radical critics--through the eighteenth and nineteenth centuries. Her story shows how controversies in the development of experimental physiology, neurophysiology, psychology,evolutionary biology, embryology, and logic are still relevant today. Then she guides the reader through the complex interlinked paths along which the study of mind developed in the twentieth century. Cognitive science covers all mental phenomena: not just 'cognition' (knowledge), but also emotion,personality, psychopathology, social communication, religion, motor action, and consciousness. In each area, Boden introduces the key ideas and researchers and discusses those philosophical critics who see cognitive science as fundamentally misguided. And she sketches the waves of resistance andacceptance on the part of the media and general public, showing how these have affected the development of the field.No one else could tell this story as Boden can: she has been a member of the cognitive science community since the late-1950s, and has known many of its key figures personally. Her narrative is written in a lively, swift-moving style, enriched by the personal touch of someone who knows the story atfirst hand. Her history looks forward as well as back: besides asking how state-of-the-art research compares with the hopes of the early pioneers, she identifies the most promising current work. Mind as Machine will be a rich resource for anyone working on the mind, in any academic discipline, whowants to know how our understanding of mental capacities has advanced over the years.

Cut through information overload to make better decisions faster Success relies on making the correct decisions at the appropriate time, which is only possible if the decision maker has the necessary insights in a suitable format. Mind+Machine is the guide to getting the right insights in the right format at the right time to the right person. Designed to show decision makers how to get the most out of every level of data analytics, this book explores the extraordinary potential to be found in a model where human ingenuity and skill are supported with cutting-edge tools, including automations. The marriage of the perceptive power of the human brain with the benefits of automation is essential because mind or machine alone cannot handle the complexities of modern analytics. Only when the two come together with structure and purpose to solve a problem are goals achieved. With various stakeholders in data analytics having their own take on what is important, it can be challenging for a business leader to create such a structure. This book provides a blueprint for decision makers, helping them ask the right questions, understand the answers, and ensure an approach to analytics that properly supports organizational growth. Discover how to: Harness the power of insightful minds and the speed of analytics technology Understand the demands and claims of various analytics stakeholders Focus on the right data and automate the right processes · Navigate decisions with confidence in a fast-paced world The Mind+Machine model streamlines analytics workflows and refines the never-ending flood of incoming data into useful insights. Thus, Mind+Machine equips you to take on the big decisions and win.

Popular notions of sustainability in architecture and urbanism idealizes nature as primary over the mediated complexity that is inevitable in a modern city's functioning. More specifically, contemporary ecological debates and models have failed to sufficiently account for the convergence of computers, automation and machine intelligence with the physical and social environments that is gradually emerging in the post-digital condition. The following publication takes an ecological view to interpret critically the micro-ecology of Amazon's automated warehouses which rely on adaptive machine intelligence which is further examined critically within the framework of cybernetic systems. Paradoxically, it also happens to thrive within the logic of the dominant global mode of consumption and production which is capitalism. Most importantly, this relational ecology lies at the intersection of the mediated complexity where the digital and physical worlds meet.

How developments in science and technology may enable the emergence of purely digital minds—intelligent machines equal to or greater in power than the human brain. What do computers, cells, and brains have in common? Computers are electronic devices designed by humans; cells are biological entities crafted by evolution; brains are the containers and creators of our minds. But all are, in one way or another, information-processing devices. The power of the human brain is, so far, unequaled by any existing machine or known living being. Over eons of evolution, the brain has enabled us to develop tools and technology to make our lives easier. Our brains have even allowed us to develop computers that are almost as powerful as the human brain itself. In this book, Arlindo Oliveira describes how advances in science and technology could enable us to create digital minds. Exponential growth is a pattern built deep into the scheme of life, but technological change now promises to outstrip even evolutionary change. Oliveira describes technological and scientific advances that range from the discovery of laws that control the behavior of the electromagnetic fields to the development of computers. He calls natural selection the ultimate algorithm, discusses genetics and the evolution of the central nervous system, and describes the role that computer imaging has played in understanding and modeling the brain. Having considered the behavior of the unique system that creates a mind, he turns to an unavoidable question: Is the human brain the only system that can host a mind? If digital minds come into existence—and, Oliveira says, it is difficult to argue that they will not—what are the social, legal, and ethical implications? Will digital minds be our partners, or our rivals?

This is Philosophy of Mind presents students of philosophy with an accessible introduction to the core issues related to the philosophy of mind. Includes issues related to the mind-body problem, artificial intelligence, free will, the nature of consciousness, and more Written to be accessible to philosophy students early in their studies Features supplemental online resources on https://www.wiley.com/en-us/thisisphilosophy/thisisphilosophyofmindanintroduction and a frequently updated companion blog, at http://tipom.blogspot.com

A dozen problems in the philosophy of mind - The turn to materialism - Arguments against materialism - Consciousness and the mind-body problem - The structure of consciousness and neurobiology - Intentionality - Mental causation - Free will - The unconscious and the explanation of behavior - Perception - The self.

Not consciousness, but knowledge of consciousness: that is what this book communicates in a fascinating way. Consciousness is the thread that links the disappearing gorilla with the octopus suffering from a stomach ache, and the person under anaesthetic with a new born baby. How these are different, yet illustrative of consciousness, is revealed in this accessible book by one of the world's leading thinkers and neural computing engineers. Igor Aleksander addresses this enigmatic topic, by making us understand the difference between what happens to us when thinking consciously and when sort of thinking when dreaming or when not conscious at all, as when sleeping, anaesthetised or knocked out by a blow on the head. The book also tackles the larger topics of free will, choice, God, Freud (what is 'the unconscious'?), inherited traits and individuality, while exploding the myths and misinformation of many earlier mind-hijackers. He shares the journey towards building a new model of consciousness, with an invitation to understand 5 axioms or basic ideas, which we easily recognise in ourselves.

Yes, people called Toyota Production System an inventory reduction program when they first heard of it. “Just in time” is one of the main pillars in the TPS. “Just in time” ideally means “one-piece flow.” Inventory is the greatest waste in the process, and it hides many problems, such as quality problems, breakdown times, waiting waste, and more. Let’s get back to history. Prior to the 1970 oil crisis, very few people in the world know what Toyota was up to. The fact that it emerged stronger than ever while many of its competitors were quite battered made people take notice. People went to Japan to find out how Toyota had done this. What people found was that Toyota was doing something called “just in time.” In the West, this was interpreted as an inventory reduction program. As a result, it became known as the “just-in-time inventory” program. Nobody really believed inventory could be taken out of the whole value stream. Therefore, “just in time” came to mean “go beat the heck out of your suppliers.” The big three auto companies (Ford, General Motors, and Chrysler) had lots of power over their suppliers, and they became pretty expert at this tactic—to their eventual detriment. James P. Womack came forward with Lean Thinking in 1996 and helped many to see the whole value chain. He showed how waste clogs the system and how continuous improvement was needed to link all parts of the chain to customer demand. He explained his findings in plain English, but once again people didn’t hear. Lean might be an element of the larger strategy, but it is most likely to be relegated to plant and manufacturing work. As a result, one company after another has tried lean and failed. Many people believe that just-in-time inventory equals zero inventory. The ideal situation is one-piece flow, which can only be achieved through the use of a manufacturing cell. The inventory buffer exists, but it is rarely used. The Andon system includes a buffer. There is a safeguard in place to protect your customer. There is a buffer to prevent the entire manufacturing line from being shut down to rectify a problem. There is a buffer in place to prevent the breakdown of a vital manufacturing process. Just-in-time production is a manufacturing system that produces and delivers only what is required, only when it is required, and only in the amount required. The Toyota Production System is built on two pillars: JIT and jidoka. JIT is based on heijunka and consists of three operating elements: the pull system, takt time, and continuous flow.