Data Analytics and AI: Data Analytics Applications
Editat de Jay Liebowitzen Limba Engleză Paperback – 7 aug 2020
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.
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Specificații
ISBN-13: 9780367895617
ISBN-10: 0367895617
Pagini: 266
Ilustrații: 3 Tables, black and white; 62 Illustrations, black and white
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.48 kg
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
Seria Data Analytics Applications
ISBN-10: 0367895617
Pagini: 266
Ilustrații: 3 Tables, black and white; 62 Illustrations, black and white
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.48 kg
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
Seria Data Analytics Applications
Public țintă
Professional Practice & DevelopmentCuprins
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
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
Descriere
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.