A new focus on analytics and its enabling technologies
· New - The text is now organized around two main themes:
o Motivations, concepts, methods, and methodologies for different types of analytics (focusing heavily on predictive and prescriptive analytics), and
o New technology trends as the enablers of modern-day analytics such as AI, machine learning, deep learning, robotics, IoT, and smart/robo-collaborative assisting systems.
· Revised - The authors have streamlined coverage to optimize the text’s size and content. This includes adding material on cutting-edge analytics, AI trends, and technologies, while eliminating older, less-used material.
· Updated - A dedicated website (pearsonhighered.com/sharda) continues to provide links to learning materials and software tutorials, while adding older material from previous editions.
New chapters of the 11th edition
· New - A 100% new Chapter 2, “Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications,” covers AI essentials and examples illustrating the benefits of AI to businesses across industries.
· New - A 90% new Chapter 6, “Deep Learning and Cognitive Computing,” covers machine learning, deep learning, and the increasingly popular AI topic cognitive computing.
· New - A 100% new Chapter 10, “Robotics: Industrial and Consumer Applications,” introduces robotics applications in industry and for consumers, as well as the impact of such advances on jobs, plus legal ramifications.
· New - A 95% new Chapter 12, “Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors,” concentrates on these knowledge systems and their implications.
· New - A 100% new Chapter 13, “The Internet of Things As A Platform For Intelligent Applications,” introduces IoT as an enabler of analytics and AI applications. Topics include smart homes, smart cities, and autonomous vehicles.
· New - An 85% new Chapter 14, “Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts,” deals with implementation issues of intelligent systems, including analytics.
Learning aids
· Updated - Several chapters have new opening vignettes that are based on recent stories and events.
· Expanded - Application cases throughout the text are new or have been updated to include recent examples of applications of a specific technique/model. Discussion questions are included.
· Expanded - New website links have been added throughout the text, while older product links and references have been deleted.
· Expanded - Most chapters have new exercises, Internet assignments, and discussion questions throughout.
New to This Edition
A new focus on analytics and its enabling technologies
· The text is now organized around two main themes:
o Motivations, concepts, methods, and methodologies for different types of analytics (focusing heavily on predictive and prescriptive analytics), and
o New technology trends as the enablers of modern-day analytics such as AI, machine learning, deep learning, robotics, IoT, and smart/robo-collaborative assisting systems.
· The authors have streamlined coverage to optimize the text’s size and content. This includes adding material on cutting-edge analytics, AI trends, and technologies, while eliminating older, less-used material.
· A dedicated website (pearsonhighered.com/sharda) continues to provide links to learning materials and software tutorials, while adding older material from previous editions.
New chapters of the 11th edition
· A 100% new Chapter 2, “Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications,” covers AI essentials and examples illustrating the benefits of AI to businesses across industries.
· A 90% new Chapter 6, “Deep Learning and Cognitive Computing,” covers machine learning, deep learning, and the increasingly popular AI topic cognitive computing.
· A 100% new Chapter 10, “Robotics: Industrial and Consumer Applications,” introduces robotics applications in industry and for consumers, as well as the impact of such advances on jobs, plus legal ramifications.
· A 95% new Chapter 12, “Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors,” concentrates on these knowledge systems and their implications.
· A 100% new Chapter 13, “The Internet of Things As A Platform For Intelligent Applications,” introduces IoT as an enabler of analytics and AI applications. Topics include smart homes, smart cities, and autonomous vehicles.
· An 85% new Chapter 14, “Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts,” deals with implementation issues of intelligent systems, including analytics.
Learning aids
· Several chapters have new opening vignettes that are based on recent stories and events.
· Application cases throughout the text are new or have been updated to include recent examples of applications of a specific technique/model. Discussion questions are included.
· New website links have been added throughout the text, while older product links and references have been deleted.
· Most chapters have new exercises, Internet assignments, and discussion questions throughout.
