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Two hot topics in recent years are data analytics and AI. Unfortunately, both communities have not done been communicating and collaborating with each other to build the necessary synergies. This book presents theory, applications, and case studies to bridge the gap between these fields.
Two hot topics in recent years are data analytics and AI. Unfortunately, both communities have not done been communicating and collaborating with each other to build the necessary synergies. This book presents theory, applications, and case studies to bridge the gap between these fields.
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Autorenporträt
Dr. Jay Liebowitz is the Distinguished Chair of Applied Business and Finance at Harrisburg University of Science and Technology. He previously was the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College (UMUC). He served as a Professor in the Carey Business School at Johns Hopkins University. He was ranked one of the top 10 knowledge management researchers/practitioners out of 11,000 worldwide, and was ranked second in KM Strategy worldwide according to the January 2010 Journal of Knowledge Management. At Johns Hopkins University, he was the founding Program Director for the Graduate Certificate in Competitive Intelligence and the Capstone Director of the MS-Information and Telecommunications Systems for Business Program, where he engaged over 30 organizations in industry, government, and not-for-profits in capstone projects.
Inhaltsangabe
Contents Foreword ..............................................................................................................ix Preface..............................................................................................................xvii List of Contributors..........................................................................................xix 1 Unraveling Data Science, Artificial Intelligence, and Autonomy............1 JOHN PIORKOWSKI 2 Unlock the True Power of Data Analytics with Artificial Intelligence ...........................................................................................21 RITU JYOTI 3 Machine Intelligence and Managerial Decision-Making......................31 LEE SCHLENKER AND MOHAMED MINHAJ 4 Measurement Issues in the Uncanny Valley: The Interaction between Artificial Intelligence and Data Analytics...............................53 DOUGLAS A. SAMUELSON 5 An Overview of Deep Learning in Industry..........................................65 QUAN LE, LUIS MIRALLES-PECHUÁN, SHRIDHAR KULKARNI, JING SU, AND OISÍN BOYDELL 6 Chinese AI Policy and the Path to Global Leadership: Competition, Protectionism, and Security............................................99 MARK ROBBINS 7 Natural Language Processing in Data Analytics................................117 YUDONG LIU 8 AI in Smart Cities Development: A Perspective of Strategic Risk Management................................................................................133 EDUARDO RODRIGUEZ AND JOHN S. EDWARDS 9 Predicting Patient Missed Appointments in the Academic Dental Clinic.......................................................................................151 AUNDREA L. PRICE AND GOPIKRISHNAN CHANDRASEKHARAN 10 Machine Learning in Cognitive Neuroimaging..................................167 SIAMAK ARAM, DENIS KORNEV, YE HAN, MINA EKRAMNIA, ROOZBEH SADEGHIAN, SAEED ESMAILI SARDARI, HADIS DASHTESTANI, SAGAR KORA VENU, AND AMIR GANDJBAKHCHE 11 People, Competencies, and Capabilities Are Core Elements in Digital Transformation: A Case Study of a Digital Transformation Project at ABB...........................................................183 ISMO LAUKKANEN 12 AI-Informed Analytics Cycle: Reinforcing Concepts..........................211 ROSINA O. WEBER AND MAUREEN P. KINKELA Index............................................................................................................235
Contents Foreword ..............................................................................................................ix Preface..............................................................................................................xvii List of Contributors..........................................................................................xix 1 Unraveling Data Science, Artificial Intelligence, and Autonomy............1 JOHN PIORKOWSKI 2 Unlock the True Power of Data Analytics with Artificial Intelligence ...........................................................................................21 RITU JYOTI 3 Machine Intelligence and Managerial Decision-Making......................31 LEE SCHLENKER AND MOHAMED MINHAJ 4 Measurement Issues in the Uncanny Valley: The Interaction between Artificial Intelligence and Data Analytics...............................53 DOUGLAS A. SAMUELSON 5 An Overview of Deep Learning in Industry..........................................65 QUAN LE, LUIS MIRALLES-PECHUÁN, SHRIDHAR KULKARNI, JING SU, AND OISÍN BOYDELL 6 Chinese AI Policy and the Path to Global Leadership: Competition, Protectionism, and Security............................................99 MARK ROBBINS 7 Natural Language Processing in Data Analytics................................117 YUDONG LIU 8 AI in Smart Cities Development: A Perspective of Strategic Risk Management................................................................................133 EDUARDO RODRIGUEZ AND JOHN S. EDWARDS 9 Predicting Patient Missed Appointments in the Academic Dental Clinic.......................................................................................151 AUNDREA L. PRICE AND GOPIKRISHNAN CHANDRASEKHARAN 10 Machine Learning in Cognitive Neuroimaging..................................167 SIAMAK ARAM, DENIS KORNEV, YE HAN, MINA EKRAMNIA, ROOZBEH SADEGHIAN, SAEED ESMAILI SARDARI, HADIS DASHTESTANI, SAGAR KORA VENU, AND AMIR GANDJBAKHCHE 11 People, Competencies, and Capabilities Are Core Elements in Digital Transformation: A Case Study of a Digital Transformation Project at ABB...........................................................183 ISMO LAUKKANEN 12 AI-Informed Analytics Cycle: Reinforcing Concepts..........................211 ROSINA O. WEBER AND MAUREEN P. KINKELA Index............................................................................................................235
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