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Author: Rick Smolan Publisher: ISBN: 9781454908272 Category : Big data Languages : en Pages : 0
Book Description
The authors invited more than 100 journalists worldwide to use photographs, charts and essays to explore the world of big data and its growing influence on our lives and society.
Author: Rick Smolan Publisher: ISBN: 9781454908272 Category : Big data Languages : en Pages : 0
Book Description
The authors invited more than 100 journalists worldwide to use photographs, charts and essays to explore the world of big data and its growing influence on our lives and society.
Author: Tom Angleberger Publisher: ABRAMS ISBN: 1613127626 Category : Juvenile Fiction Languages : en Pages : 162
Book Description
Lyle Hertzog and his friends Marilla and Dave are the Qwikpick Adventure Society, three kids who seek out adventure in their seemingly quiet hometown of Crickenburg. On the hunt for their next big adventure—something to top the Fountain of Poop, if that’s even possible—the kids overhear a construction worker telling his buddies about a rat with a human face he saw in the basement of an old research facility. The decision is unanimous: the next adventure for the Qwikpick Society is on! But when their trip to find the rat doesn’t go quite as expected, the trio gets in big trouble. Will the second adventure for the Qwikpick Society also be their last?
Author: Tobias M. Scholz Publisher: Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften ISBN: 9783631718902 Category : Business & Economics Languages : en Pages : 237
Book Description
Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization's new competitive advantage is its employees augmented by big data.
Author: Fernando Iafrate Publisher: John Wiley & Sons ISBN: 1848217552 Category : Computers Languages : en Pages : 88
Book Description
A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for). Today’s decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time). The huge increase in volume of data traffic, and its format (unstructured data such as blogs, logs, and video) generated by the “digitalization” of our world modifies radically our relationship to the space (in motion) and time, dimension and by capillarity, the enterprise vision of performance monitoring and optimization.
Author: Richard Bradley Publisher: Cambridge University Press ISBN: 1107003210 Category : Business & Economics Languages : en Pages : 351
Book Description
Explores how decision-makers can manage uncertainty that varies in both kind and severity by extending and supplementing Bayesian decision theory.
Author: Paul Daugherty Publisher: Harvard Business Press ISBN: 1647821096 Category : Business & Economics Languages : en Pages : 152
Book Description
Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy. In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their processes and their bottom lines. Now, as new AI powered technologies like the metaverse, natural language processing, and digital twins begin to rapidly impact both life and work, those companies and other pioneers across industries are tipping the balance even more strikingly toward the human side with technology-led strategy that is reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift, fast-forwarded by the pandemic, toward more human—and more humane—technology. Artificial intelligence is becoming less artificial and more intelligent. Instead of data-hungry approaches to AI, innovators are pursuing data-efficient approaches that enable machines to learn as humans do. Instead of replacing workers with machines, they're unleashing human expertise to create human-centered AI. In place of lumbering legacy IT systems, they're building cloud-first IT architectures able to continuously adapt to a world of billions of connected devices. And they're pursuing strategies that will take their place alongside classic, winning business formulas like disruptive innovation. These against-the-grain approaches to the basic building blocks of business—Intelligence, Data, Expertise, Architecture, and Strategy (IDEAS)—are transforming competition. Industrial giants and startups alike are drawing on this radically human IDEAS framework to create new business models, optimize post-pandemic approaches to work and talent, rebuild trust with their stakeholders, and show the way toward a sustainable future. With compelling insights and fresh examples from a variety of industries, Radically Human will forever change the way you think about, practice, and win with innovation.
Author: Ruth DeFries Publisher: Basic Books ISBN: 0465080936 Category : Science Languages : en Pages : 289
Book Description
How an ordinary mammal manipulated nature to become technologically sophisticated city-dwellers -- and why our history points to an optimistic future in the face of environmental crisis Our species long lived on the edge of starvation. Now we produce enough food for all 7 billion of us to eat nearly 3,000 calories every day. This is such an astonishing thing in the history of life as to verge on the miraculous. The Big Ratchet is the story of how it happened, of the ratchets -- the technologies and innovations, big and small -- that propelled our species from hunters and gatherers on the savannahs of Africa to shoppers in the aisles of the supermarket. The Big Ratchet itself came in the twentieth century, when a range of technologies -- from fossil fuels to scientific plant breeding to nitrogen fertilizers -- combined to nearly quadruple our population in a century, and to grow our food supply even faster. To some, these technologies are a sign of our greatness; to others, of our hubris. MacArthur fellow and Columbia University professor Ruth DeFries argues that the debate is the wrong one to have. Limits do exist, but every limit that has confronted us, we have surpassed. That cycle of crisis and growth is the story of our history; indeed, it is the essence of The Big Ratchet. Understanding it will reveal not just how we reached this point in our history, but how we might survive it.
Author: Karen L. Webber Publisher: Johns Hopkins University Press ISBN: 1421439034 Category : Education Languages : en Pages : 337
Book Description
How data-informed decision making can make colleges and universities more effective institutions. The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound decisions. In Big Data on Campus, leading data analytics experts and higher ed leaders show the role that analytics can play in the better administration of colleges and universities. Aimed at senior administrative leaders, practitioners of institutional research, technology professionals, and graduate students in higher education, the book opens with a conceptual discussion of the roles that data analytics can play in higher education administration. Subsequent chapters address recent developments in technology, the rapid accumulation of data assets, organizational maturity in building analytical capabilities, and methodological advancements in developing predictive and prescriptive analytics. Each chapter includes a literature review of the research and application of analytics developments in their respective functional areas, a discussion of industry trends, examples of the application of data analytics in their decision process, and other related issues that readers may wish to consider in their own organizational environment to find opportunities for building robust data analytics capabilities. Using a series of focused discussions and case studies, Big Data on Campus helps readers understand how analytics can support major organizational functions in higher education, including admission decisions, retention and enrollment management, student life and engagement, academic and career advising, student learning and assessment, and academic program planning. The final section of the book addresses major issues and human factors involved in using analytics to support decision making; the ethical, cultural, and managerial implications of its use; the role of university leaders in promoting analytics in decision making; and the need for a strong campus community to embrace the analytics revolution. Contributors: Rana Glasgal, J. Michael Gower, Tom Gutman, Brian P. Hinote, Braden J. Hosch, Aditya Johri, Christine M. Keller, Carrie Klein, Jaime Lester, Carrie Hancock Marcinkevage, Gail B. Marsh, Susan M. Menditto, Jillian N. Morn, Valentina Nestor, Cathy O'Bryan, Huzefa Rangwala, Timothy Renick, Charles Tegen, Rachit Thariani, Chris Tompkins, Lindsay K. Wayt, Karen L. Webber, Henry Y. Zheng, Ying Zhou
Author: Patrick Meier Publisher: CRC Press ISBN: 1482248409 Category : Political Science Languages : en Pages : 260
Book Description
The overflow of information generated during disasters can be as paralyzing to humanitarian response as the lack of information. This flash flood of information‘social media, satellite imagery and more is often referred to as Big Data. Making sense of this data deluge during disasters is proving an impossible challenge for traditional humanitarian
Author: Rick Smolan
Author: Rick Smolan
Author: Viktor Mayer-Schönberger
Author: Tom Angleberger
Author: Tobias M. Scholz
Author: Fernando Iafrate
Author: Richard Bradley
Author: Paul Daugherty
Author: Ruth DeFries
Author: Karen L. Webber
Author: Patrick Meier