The AI Dilemma: A Leadership Guide to Assess Enterprise AI Maturity & Explore AI’s Impact in Your Industry

Length: 224 pages
Edition: 1
Language: English
Publisher: BPB Publications
Publication Date: 2021-03-16
ISBN-10: 8194837782
ISBN-13: 9788194837787
Sales Rank: #0 (See Top 100 Books)

Understand the Impact of AI in Industries and Assess Your Organizational AI Readiness

Key Features

Proven real use-cases of AI with its benefits illustrated.
Exposure to successful implementation of AI in 8+ sectors.
Exclusive coverage for the leadership team to design AI strategy with calculated risks and benefits.

Description
This book brings you cutting-edge coverage on AI and its ability to create a perfect world or a perfect storm across industries. Equipped with numerous real-world use-cases, the book imparts knowledge on innovations with AI and a process to determine your organizational AI readiness. You will gain from ethical considerations, execution strategy and a comprehensive assessment of AI in your sector.

The sectors covered include Healthcare, Education, Media & Telecom, Travel & Transportation, Governance, Agriculture, Manufacturing, Retail, Business Functions (Finance, HR, Law, Marketing & Sales), Offices and Personal Life. Apart from this, you will get acquainted with AI policies in the USA, China, Canada, UK, Germany, Australia, India, Russia, OECD and the EU.

This book will assist you in understanding your organization’s AI maturity and how to gain competitive advantage in your respective industry by introducing AI in the business culture. By the end of this book, you will get strategic insights on managing risk and advancing the AI mandate in your business practices.

What you will learn

Productive & destructive future possibilities with AI.
AI’s innovations and applications in different sectors.
Ethical challenges & strategic considerations with AI.
AI policies in some of the major economies.
AI governance & maturity assessment for organizations.

Who this book is for
This book is helpful for those looking to grasp the current state and future possibilities of AI. This includes business and administrative educators, students and professionals. It is particularly useful for leaders who would like to focus on specific industries, assess their current state with AI and get their organizations to be AI ready.

About the Author
Dr. Cindy Gordon is a Governor General awardee and the CEO and founder of SalesChoice, an AI SaaS company for B2B sales. Winner of numerous awards for AI Disruption, she is a former Venture capitalist, Accenture Partner, Xerox GM and Citibank VP. Dr. Gordon is also the Canada national spokesperson for STEM and women in tech for CATA and the Co-Founder and Chair for AI Directory.

Malay A. Upadhyay (MBA, M.Sc, B.Engg) is a Duke of Edinburgh awardee and a customer journey executive, experienced across three continents and certified in Machine Learning. As the CXO at SalesChoice, he trained 150+ managers on the basics of AI and its successful adoption. Malay drives the subject of AI Management as a board member, advisor, author, and online instructor.

Blog links: www.TheUpadhyays.com

Cover Page
Title Page
Copyright Page
Dedication Page
About the Authors
About the Reviewer
Acknowledgements
Preface
What Some Industry Experts Have to Say
Errata
Table of Contents
1. AI Everywhere
    Structure
    Objectives
    1.1: A perfect world
    1.2: A perfect storm
    1.3: The AI Dilemma: a perfect world or a perfect storm?
        What type of future do we want?
    1.4: AI growth dynamics
        1.4.1: AI in context: defining AI basics
        1.4.2: Growth of Big Data and AI
    1.5: Impact on labor with AI
    1.6: Conclusion
2. AI in Healthcare
    Structure
    Objectives
    2.1: A perfect world
    2.2: A perfect storm
    2.3: The AI shift
    2.4: AI during Covid-19
    2.4: The AI innovations
        2.4.1: Tracking disease outbreaks
        2.4.2: Drug discovery
        2.4.3: Disease diagnostics
        2.4.4: Drug delivery
        2.4.5: Intuitive surgical robots via guided AI
        2.4.6: Health AI aids - apps and wearables
        2.4.7: Behavioral therapeutic AI
        2.4.8: Mood sensors via emotional AI
    2.5: The AI vault
        2.5.1: What do you do when AI’s ways of working are unexplainable?
        2.5.2: How are privacy and security frameworks impacting AI advancements?
    2.6 Conclusion
3. AI in Education
    Structure
    Objectives
    3.1: A perfect world
    3.2: A perfect storm
    3.3: The AI shift
    3.4: The AI innovations
        3.4.1: Customized virtual education
        3.4.2: Prescriptive education
        3.4.3: Collaborative education
        3.4.4: Robots in education
        3.4.5: Augmented intelligence
    3.5: The AI vault
        3.5.1: Proactive planning
        3.5.2: Better access and revenue models
        3.5.3: Behavioral predictions
    3.6: Conclusion
4. AI in Travel
    Structure
    Objectives
    4.1: The perfect world
    4.2: The perfect storm
    4.3: The AI shift
    4.4: The AI innovations
        4.4.1: AI in hotels
            4.4.1.1: A scene for Alixia Bolt
        4.4.2: AI in cars
        4.4.3: AI in public transportation
        4.4.4: AI in airport and airlines
        4.4.5: AI in space
    4.5: The AI vault
        4.5.1: Policy and legal impacts
        4.5.2: Privacy and control
    4.6: Conclusion
5. AI in Media and Communications
    Structure
    Objectives
    5.1: The perfect world
    5.2: The perfect storm
    5.3: The AI shift
    5.4: The AI innovations
        5.4.1: Use of AI in media and music
        5.4.2: AI decoding in linguistics
        5.4.3: AI in news
        5.4.4: AI in advertising
        5.4.5: AI in phones
    5.5: The AI vault
    5.6: Conclusion
6. AI in the Public Sector
    Structure
    Objectives
    6.1: The perfect world
    6.2: The perfect storm
    6.3: The AI shift
        Why was this development so important?
    6.4: The AI innovations
        6.4.1: AI for welfare
        6.4.2: AI for security
        6.4.3: AI for immigration
    6.5: The AI vault
        6.5.1: Data and information governance
        6.5.2: Collaboration
        6.5.3: What should government be doing about AI?
    6.6: Conclusion
7. AI in Countries
    Structure
    Objectives
    7.1: The perfect world
    7.2: The perfect storm
    7.3: State of AI
        7.3.1: AI in USA
        7.3.2: AI in China
        7.3.3: AI in Canada
        7.3.4: AI in UK
        7.3.5: AI in Germany
        7.3.6: AI in Australia
        7.3.7: AI in India
        7.3.8: AI in Russia
    7.4: International AI governance frameworks
        7.4.1: The OECD AI framework
        7.4.2: The European Union AI framework
    7.5: The AI governance imperatives
    7.6: Conclusion
8. AI in Value Chains
    Structure
    Objectives
    8.1: The perfect world
    8.2: The perfect storm
    8.3: The AI shift
        8.3.1: AI in agriculture and mining
        8.3.2: AI in manufacturing
        8.3.3: AI in retail
    8.4: The AI innovations
    8.5: The AI vault
    8.6: Conclusion
9. AI at Work
    Structure
    Objectives
    9.1: The perfect world
    9.2: The perfect storm
    9.3: The AI shift
    9.4: The AI innovations
        9.4.1: AI in human resources
        9.4.2: AI in law
        9.4.3: AI in finance and accounting
        9.4.4: AI in sales and marketing
        9.4.5: AI in Cyborgs
    9.5: The AI vault
    9.6: Conclusion
10. AI at Home
    Structure
    Objectives
    10.1: A perfect world
    10.2: A perfect storm
    10.3: The AI shift
    10.4: The AI innovations
    10.5: The AI vault
    10.6: Conclusion
11. Getting AI Right
    Structure
    Objective
    11.1: Where should you begin?
    11.2: AI maturity assessment
    11.3: How do you advance AI in the organization?
        11.3.1: Practicing agile as a learning organization
        11.3.2: Communicating relevance for securing confidence and success
        11.3.3: Securing early wins to build support momentum
    11.4: Who should AI report to in an organization?
    11.5: What are the risks of an AI program?
    11.6: Conclusion
Index