How to Compete in the Age of Artificial Intelligence: Implementing a Collaborative Human-Machine Strategy for Your Business

How to Compete in the Age of Artificial Intelligence: Implementing a Collaborative Human-Machine Strategy for Your Business

by Soumendra Mohanty, Sachin Vyas

Paperback(1st ed.)

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Overview


Get started with artificial intelligence in your business. This book will help you understand AI, its implications, and how to adopt a strategy that is rational, relevant, and practical.


Beyond the buzzwords and the technology complexities, organizations are struggling to understand what AI means for their industry and how they can start their journey. How to Compete in the Age of Artificial Intelligence is not a book about complex formulas or solution architectures. It goes deeper into explaining the meaning and relevance of AI for your business. You will learn how to apply AI thinking across enterprise functions—including disruptive technologies such as IoT, Blockchain, and cloud—and transform your organization.




What You'll Learn

  • Know how to spot AI opportunities and establish the right organizational imperatives to grow your business
  • Understand AI in the context of changing business dynamics and the workforce/skills required to succeed
  • Discover how to apply AI thinking across enterprise functions—from the boardroom to cybersecurity, IoT, IT operations, policies—and implement a sustainable and integrated human-machine collaboration strategy






Who This Book is For


CxOs, senior executives, mid-level managers, AI evangelists, digital leads, and technology directors

Product Details

ISBN-13: 9781484238073
Publisher: Apress
Publication date: 09/26/2018
Edition description: 1st ed.
Pages: 237
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

Soumendra Mohanty is an acclaimed thought leader and SME in the areas of analytics, IoT, AI, cognitive, and automation. He is a two-decade veteran with expertise in next-gen big data solutions, BI architectures, the enterprise data warehouse, customer insight solutions, and industry-specific advanced analytics solutions. With his broad experience, he has designed and implemented data analytics solutions for Fortune 500 clients across industry verticals. Soumendra is an advisor with the Harvard Business Review Advisory Council. He is also associated with the Indian Statistical Institute and various universities as visiting faculty specializing in big data and analytics. Soumendra speaks at various global forums, CAO advisory forums, and educational institutions. He is author of the books Data Warehousing, Big Data Imperatives (Apress), and Analytics in Practice.


Sachin Vyas is an entrepreneur with over 20 years of experience in technology, data, and analytics. He was the founder and CEO of AugmentIQ Data Sciences, a company acquired by LTI. LTI is a global technology consulting and digital solutions company. AugmentIQ focused on creating platforms and solutions specific to big data engineering and data sciences and provided solutions to large and complex data and analytics problems for financial services companies. He currently heads LTI’s platforms and enabling solutions with converging technologies across devices, data, computing, and artificial intelligence. Sachin is the recipient of the EMC Transformer Awards-2012 and the SKOCH Digital Inclusion Awards-2012 in India. He has a mechanical engineering degree from VNIT, Nagpur, India.









Table of Contents

Preface
Chapter 1: Economics Of Artificial Intelligence
Chapter 2: Re-Imagining Competitive Advantage in the AI World
Chapter 3: Board to CEO: “What’s your AI strategy?”
Chapter 4: Inside the black box: Understanding AI decision-making
Chapter 5: Intelligent Automation = RPA + AI Automation and Intelligence: Working Together
Chapter 6: Cyber Security And AI
Chapter 7: Intelligence of Things = IoT + AI
Chapter 8: IT Operations And AI Why your Business Needs AIOps
Chapter 9: Ethics And AI Ethical Issues in Artificial Intelligence
Chapter 10: Putting It All Together: Towards a Human-Machine Collaborative Strategy
Conclusion

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