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.

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• ContentsForeword..............................................................................................................ixPreface..............................................................................................................xviiList of Contributors..........................................................................................xix1 Unraveling Data Science, Artificial Intelligence, and Autonomy............1JOHN PIORKOWSKI2 Unlock the True Power of Data Analytics with ArtificialIntelligence ...........................................................................................21RITU JYOTI3 Machine Intelligence and Managerial Decision-Making......................31LEE SCHLENKER AND MOHAMED MINHAJ4 Measurement Issues in the Uncanny Valley: The Interactionbetween Artificial Intelligence and Data Analytics...............................53DOUGLAS A. SAMUELSON5 An Overview of Deep Learning in Industry..........................................65QUAN LE, LUIS MIRALLES-PECHUÁN, SHRIDHAR KULKARNI,JING SU, AND OISÍN BOYDELL6 Chinese AI Policy and the Path to Global Leadership:Competition, Protectionism, and Security............................................99MARK ROBBINS7 Natural Language Processing in Data Analytics................................117YUDONG LIU8 AI in Smart Cities Development: A Perspective of StrategicRisk Management................................................................................133EDUARDO RODRIGUEZ AND JOHN S. EDWARDS9 Predicting Patient Missed Appointments in the AcademicDental Clinic.......................................................................................151AUNDREA L. PRICE AND GOPIKRISHNAN CHANDRASEKHARAN10 Machine Learning in Cognitive Neuroimaging..................................167SIAMAK ARAM, DENIS KORNEV, YE HAN, MINA EKRAMNIA,ROOZBEH SADEGHIAN, SAEED ESMAILI SARDARI,HADIS DASHTESTANI, SAGAR KORA VENU, AND AMIR GANDJBAKHCHE11 People, Competencies, and Capabilities Are Core Elementsin Digital Transformation: A Case Study of a DigitalTransformation Project at ABB...........................................................183ISMO LAUKKANEN12 AI-Informed Analytics Cycle: Reinforcing Concepts..........................211ROSINA O. WEBER AND MAUREEN P. KINKELAIndex............................................................................................................235

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.

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• ContentsForeword..............................................................................................................ixPreface..............................................................................................................xviiList of Contributors..........................................................................................xix1 Unraveling Data Science, Artificial Intelligence, and Autonomy............1JOHN PIORKOWSKI2 Unlock the True Power of Data Analytics with ArtificialIntelligence ...........................................................................................21RITU JYOTI3 Machine Intelligence and Managerial Decision-Making......................31LEE SCHLENKER AND MOHAMED MINHAJ4 Measurement Issues in the Uncanny Valley: The Interactionbetween Artificial Intelligence and Data Analytics...............................53DOUGLAS A. SAMUELSON5 An Overview of Deep Learning in Industry..........................................65QUAN LE, LUIS MIRALLES-PECHUÁN, SHRIDHAR KULKARNI,JING SU, AND OISÍN BOYDELL6 Chinese AI Policy and the Path to Global Leadership:Competition, Protectionism, and Security............................................99MARK ROBBINS7 Natural Language Processing in Data Analytics................................117YUDONG LIU8 AI in Smart Cities Development: A Perspective of StrategicRisk Management................................................................................133EDUARDO RODRIGUEZ AND JOHN S. EDWARDS9 Predicting Patient Missed Appointments in the AcademicDental Clinic.......................................................................................151AUNDREA L. PRICE AND GOPIKRISHNAN CHANDRASEKHARAN10 Machine Learning in Cognitive Neuroimaging..................................167SIAMAK ARAM, DENIS KORNEV, YE HAN, MINA EKRAMNIA,ROOZBEH SADEGHIAN, SAEED ESMAILI SARDARI,HADIS DASHTESTANI, SAGAR KORA VENU, AND AMIR GANDJBAKHCHE11 People, Competencies, and Capabilities Are Core Elementsin Digital Transformation: A Case Study of a DigitalTransformation Project at ABB...........................................................183ISMO LAUKKANEN12 AI-Informed Analytics Cycle: Reinforcing Concepts..........................211ROSINA O. WEBER AND MAUREEN P. KINKELAIndex............................................................................................................235

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.

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• ContentsForeword..............................................................................................................ixPreface..............................................................................................................xviiList of Contributors..........................................................................................xix1 Unraveling Data Science, Artificial Intelligence, and Autonomy............1JOHN PIORKOWSKI2 Unlock the True Power of Data Analytics with ArtificialIntelligence ...........................................................................................21RITU JYOTI3 Machine Intelligence and Managerial Decision-Making......................31LEE SCHLENKER AND MOHAMED MINHAJ4 Measurement Issues in the Uncanny Valley: The Interactionbetween Artificial Intelligence and Data Analytics...............................53DOUGLAS A. SAMUELSON5 An Overview of Deep Learning in Industry..........................................65QUAN LE, LUIS MIRALLES-PECHUÁN, SHRIDHAR KULKARNI,JING SU, AND OISÍN BOYDELL6 Chinese AI Policy and the Path to Global Leadership:Competition, Protectionism, and Security............................................99MARK ROBBINS7 Natural Language Processing in Data Analytics................................117YUDONG LIU8 AI in Smart Cities Development: A Perspective of StrategicRisk Management................................................................................133EDUARDO RODRIGUEZ AND JOHN S. EDWARDS9 Predicting Patient Missed Appointments in the AcademicDental Clinic.......................................................................................151AUNDREA L. PRICE AND GOPIKRISHNAN CHANDRASEKHARAN10 Machine Learning in Cognitive Neuroimaging..................................167SIAMAK ARAM, DENIS KORNEV, YE HAN, MINA EKRAMNIA,ROOZBEH SADEGHIAN, SAEED ESMAILI SARDARI,HADIS DASHTESTANI, SAGAR KORA VENU, AND AMIR GANDJBAKHCHE11 People, Competencies, and Capabilities Are Core Elementsin Digital Transformation: A Case Study of a DigitalTransformation Project at ABB...........................................................183ISMO LAUKKANEN12 AI-Informed Analytics Cycle: Reinforcing Concepts..........................211ROSINA O. WEBER AND MAUREEN P. KINKELAIndex............................................................................................................235