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Solutions for Analytics, Data Science, & Artificial Intelligence, Systems for Decision Support, 11th Edition by Sharda (All Chapters included)

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Complete Solutions Manual for Analytics, Data Science, & Artificial Intelligence, Systems for Decision Support, 11th Edition by Ramesh Sharda, Dursun Delen ; ISBN13: 9780135755532...(Full Chapters included and organized in reverse order from Chapter 14 to 1)...1. An Overview of Business Analytics, Decision Support Systems, Business Intelligence, Data Science, and Artificial Intelligence 2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications 3. Nature of Data, Statistical Modeling, and Visualization 4. Data Mining Process, Methods, and Applications 5. Machine learning Techniques for Predictive Analytics 6. Deep Learning and Cognitive Computing 7. Text Mining, Sentiment Analysis, and Social Analytics 8. Prescriptive Analytics with Optimization and Simulation 9. Big Data, Location Analytics, and Cloud Computing 10. Robotics: Industrial and Consumer Applications 11. Group Decision Making, Collaborative Systems, and AI Support 12. Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors 13. The Internet of Things As a Platform for Intelligent Applications 14. Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts

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Institution
Analytics, Data Science 11e Sharda
Course
Analytics, Data Science 11e Sharda

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Analytics, Data Science, & Artificial
Intelligence, Systems for Decision
Support, 11th Edition
by Ramesh Sharda



Complete Chapter Solutions Manual
are included (Ch 1 to 14)




** Immediate Download
** Swift Response
** All Chapters included

,Table of Contents are given below


1. An Overview of Business Analytics, Decision Support Systems, Business

Intelligence, Data Science, and Artificial Intelligence

2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business

Applications

3. Nature of Data, Statistical Modeling, and Visualization

4. Data Mining Process, Methods, and Applications

5. Machine learning Techniques for Predictive Analytics

6. Deep Learning and Cognitive Computing

7. Text Mining, Sentiment Analysis, and Social Analytics

8. Prescriptive Analytics with Optimization and Simulation

9. Big Data, Location Analytics, and Cloud Computing

10. Robotics: Industrial and Consumer Applications

11. Group Decision Making, Collaborative Systems, and AI Support

12. Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual

Personal Assistants, and Robo Advisors

13. The Internet of Things As a Platform for Intelligent Applications

14. Implementation Issues: From Ethics and Privacy to Organizational and

Societal Impacts

,The Solutions are organized in reverse order, with the last chapter displayed first, to ensure that
all chapters are included in this document. (Complete Chapters included Ch14-1)




Chapter 14:
Implementation Issues: From Ethics and
Privacy to Organizational and Societal
Impacts

Learning Objectives for Chapter 14

1. Describe the major implementation issues of intelligent technologies
2. Discuss legal, privacy and ethical issues
3. Understand the deployment issues of intelligent systems
4. Describe the major impacts on organizations and society
5. Discuss and debate the impacts on jobs and work
6. Discuss the arguments of utopia and dystopia in a debate of the future of robots
and artificial intelligence (AI)
7. Discuss the potential danger of mathematical models in analytics
8. Describe the major influencing technology trends
9. Describe the highlights of the future of intelligent systems

CHAPTER OVERVIEW

In this concluding chapter, we cover a variety of issues related to the implementation and
future of intelligent systems. We begin our coverage with technological issues such as
security and connectivity. Then, we move to managerial issues that cover legality,
privacy, and ethics. We next explore the impacts on organizations, society, work and
jobs. Then, we review technology trends that point to the future. Note. In this chapter we
refer to all technologies covered in this book as intelligent technologies or intelligent
systems. This chapter has the following sections:

CHAPTER OUTLINE

14.1 Opening Vignette: Why Did Uber Pay $245 Million to Waymo?
14.2 Implementing Intelligent Systems: An Overview
14.3 Legal, Privacy, and Ethical Issues
14.4 Successful Deployment of Intelligent Systems
14.5 Impacts of Intelligent Systems on Organizations 740 14.6 Impacts on Jobs and Work
14.7 Potential Dangers of Robots, AI, and Analytical Models
14.8 Relevant Technology Trends
14.9 Future of Intelligent Systems


1

, ANSWERS TO END OF SECTION REVIEW QUESTIONS      
Section 14.1 Review Questions

1. Identify the legal issues involved in this case.

The primary legal issue centers around the intellectual property of self driving cars
created by Waymo’s and the distinction between that intellectual property and the
industry know-how developed by former employees.

2. Why do you think Waymo agreed to take Uber’s shares instead of money?

It may have been difficult to value the intellectual property at issue, and offering stock
provided a way to extract future value from that property while not curtailing current
operations.

3. What is the meaning of intellectual property in this case?

Intellectual property in this case included specific files on knowledge methods and
construction of self driving cars as well as insiders general understanding of how those
cars were being developed and built.

4. The presiding federal judge said at the end: “This case is now ancient history.” What
did he mean to say?

Student interpretations of this will vary, but may focus on the fact that by the time this
case was settled significant progress had been made in the associated technologies.

5. Summarize the potential damages to the two parties if they had continued with the
legal dispute.

Both parties ran the risk of losing the associated intellectual property in the lawsuit, as
well as continuing to accrue significant legal costs.

6. Summarize the benefits of the settlement to both sides.

Both sides were able to maintain intellectual property rights and cut their legal costs.
Waymo was able to benefit in future possible economic benefits from the intellectual
property (via stock) while not slowing Uber’s current pace of development.

Section 14.2 Review Questions

1. List the major steps in the implementation process.

• Step 1 Need assessment
• Step 2 Preparations

2

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Course
Analytics, Data Science 11e Sharda

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