Description
Taylor & Francis Data Analytics And Ai 1St Edition by Jay Liebowitz
Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools?Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data. 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-PECHUAN, SHRIDHAR KULKARNI,JING SU, AND OISIN 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