Artificial Intelligence Books Online India – Top AI Textbooks & Popular Reads

Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence

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Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence

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An economics based look at how AI as affordable prediction changes business, judgement, and strategy.
Empire of AI: Inside the reckless race for total domination

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Empire of AI: Inside the reckless race for total domination

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Karen Hao is an award-winning journalist covering the impacts of artificial intelligence on society. She writes for publications including The Atlantic and leads the Pulitzer Center's AI Spotlight Series. She was formerly a tech reporter for the Wall Street Journal and a senior editor for AI at MIT Technology Review. She has received numerous accolades for her coverage, including an American National Magazine Award for Journalists Under 30. She received her B.S. in mechanical engineering from MIT.
Personalized: Customer Strategy in the Age of AI

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Personalized: Customer Strategy in the Age of AI

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A strategic guide on implementing personalization at scale with AI, focusing on trust, relevance, and customer delight.
I, Human: AI, Automation, and the Quest to Reclaim What Makes Us Unique

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I, Human: AI, Automation, and the Quest to Reclaim What Makes Us Unique

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A compelling exploration of how AI and automation test our humanity—and how we must reinvest in what makes us human.
Enter Prompt: Navigating AI in the World's Largest Democracy | Ethical Challenges, Policy Impact & AI Future in the Indian Context

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Enter Prompt: Navigating AI in the World's Largest Democracy | Ethical Challenges, Policy Impact & AI Future in the Indian Context

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Barsali Bhattacharyya has over fourteen years of experience in researching and writing on economics, business, consumers and everything in between. She is currently deputy director at the Economist Intelligence Unit and has previously been a journalist at Business Standard and the India Today Group. She lives in Delhi.

Sidharth Sreekumar has over fourteen years of experience as a technologist, market researcher and writer advocating for ethical technological advancement. Most recently, as senior product manager at the Economist Intelligence Unit, he focused on content platforms and artificial intelligence (AI) adoption by research teams. His writings have been published by the South First, the Wire and Mind the Product. He currently lives in Toronto, Canada.
AI First: The Playbook for a Future Proof Business and Brand

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AI First: The Playbook for a Future Proof Business and Brand

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A playbook for companies to make AI central to strategy, brand, marketing and operational design to build a future?proof business.
All In on AI: How Smart Companies Win Big with Artificial Intelligence

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All In on AI: How Smart Companies Win Big with Artificial Intelligence

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“Hardcover; published January 24, 2023; 224 pages; features case studies from Anthem, Ping An, Airbus, Capital One; focuses on transforming culture, processes, decision making with AI.”
HBR Guide to AI Basics for Managers

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HBR Guide to AI Basics for Managers

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A practical guide for managers to understand AI basics, select impactful projects, collaborate with data teams, and manage ethical and operational challenges.
Artificial Intelligence: The Insights You Need from Harvard Business Review

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Artificial Intelligence: The Insights You Need from Harvard Business Review

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A curated collection of HBR articles offering actionable frameworks and insights for businesses wanting to leverage AI responsibly and effectively.
Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World

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Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World

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A guide to strategy and leadership in an age where algorithms, networks and data reshape what firms must do to compete.
More Human: Designing a World Where People Come First

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More Human: Designing a World Where People Come First

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A manifesto urging us to put people first—reshaping impersonal systems and structures to become more human?centred.
Educating a Billion: How EdTech Start ups, Apps, YouTube and AI Disrupted Education

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Educating a Billion: How EdTech Start ups, Apps, YouTube and AI Disrupted Education

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A deep dive into how India’s EdTech sector scaled and transformed education through apps, video platforms, startups, and tech innovation.
The Co Intelligence Revolution: How Humans and AI Co Create New Value

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The Co Intelligence Revolution: How Humans and AI Co Create New Value

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A visionary roadmap exploring how humans and AI collaboratively create new value across diverse industries and public sectors.
Mastering the Data Paradox : Key to Winning in the AI Age |Ultimate guide to learn about artificial intelligence

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Mastering the Data Paradox : Key to Winning in the AI Age |Ultimate guide to learn about artificial intelligence

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Nitin Seth is a global business leader, entrepreneur, and bestselling author at the intersection of technology and human transformation. He is the Co-Founder and CEO of Incedo Inc., a digital, data, and AI services firm helping enterprises unlock real value from technology at scale.

Over the past three decades, Nitin has held leadership roles at some of the world’s most respected organizations―including McKinsey, Fidelity International, and Flipkart―where he led large-scale transformations across business, data, and technology.

His debut book, Winning in the Digital Age (2021), was a national bestseller and won five major awards, including the C.K. Prahalad Best Business Book Award. His second, Mastering the Data Paradox (2024), became a bestseller within a week of launch and is being translated into multiple languages. Human Edge in the AI Age is his most personal book yet―written as a guide and legacy for the next generation.

A graduate of IIT Delhi and IIM Lucknow, Nitin is a sought-after speaker on AI, leadership, and innovation. He lives in New Jersey with his wife, three children, and their dog.
The Tech Whisperer: On Digital Transform: On Digital Transformation and the Technologies that Enable It

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The Tech Whisperer: On Digital Transform: On Digital Transformation and the Technologies that Enable It

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Jaspreet Bindra is a leading expert on digital transformation, Blockchain and other emerging technologies.
Until recently, Jaspreet was the senior vice president, digital transformation, at the $20bn Mahindra Group of Companies, helping drive digital and technology transformation across the Group's businesses. His two decades of experience before that has included senior executive positions in Microsoft and the Tata Group (as a part of the Tata Administrative Services), interspersed with a couple of technology entrepreneurship stints.
Jaspreet is the founder of an advisory firm in the areas of digital transformation, technology and innovation, blockchain, AI and the future of work. His digital transformation experience spans across agriculture, real estate, next-gen social networks, software, hospitality, auto and financial services. Jaspreet is also the leading thought leader and evangelizer in the blockchain space in India, having built prototypes and products on it. He has delivered a platform-leading TEDx talk on Blockchain at https://www.youtube.com/watch?v=8fbhI1qVj0c&t=8s.
Jaspreet is an acclaimed thought leader, speaker and teacher on these areas, having spoken across 200+ companies and boards, at multiple industry forums, and at prestigious educational institutions like Harvard Business School, INSEAD, ISB, etc. He is currently an adviser to Findability Sciences, IDC, ThoughtWorks, RR Donnelly, Mahindra, IAMAI, Blockchained India, and a Partner and Chapter Leader for Singularity University in India. SAP and Mint recognized Jaspreet with the inaugural Digitalist of the Year award in 2017.
He is the only three-time National Winner of the Brand Equity Business Quiz, and claims to have India's largest gin collection.
Jaspreet is currently based in Gurgaon, India, with a footprint in Toronto, Canada.
HBR's 10 Must Reads on AI (with bonus article "How to Win with Machine Learning" by Ajay Agrawal, Joshua Gans, and Avi Goldfarb)

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HBR's 10 Must Reads on AI (with bonus article "How to Win with Machine Learning" by Ajay Agrawal, Joshua Gans, and Avi Goldfarb)

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Harvard Business Review is the leading destination for smart management thinking. Through its flagship magazine, 12 international licensed editions, books from Harvard Business Review Press, and digital content and tools published on HBR.org, Harvard Business Review provides professionals around the world with rigorous insights and best practices to lead themselves and their organizations more effectively and to make a positive impact.
Generative AI: The Insights You Need from Harvard Business Review

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Generative AI: The Insights You Need from Harvard Business Review

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Harvard Business Review is the leading destination for smart management thinking. Through its flagship magazine, 12 international licensed editions, books from Harvard Business Review Press, and digital content and tools published on HBR.org, Harvard Business Review provides professionals around the world with rigorous insights and best practices to lead themselves and their organizations more effectively and to make a positive impact.
The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want

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The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want

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Dr Emily M. Bender is a Professor of Linguistics at the University of Washington. Her work, including the touchstone ‘Stochastic Parrots’ paper, brings a linguistic perspective to how large language models work and why the illusion they produce is so compelling. In 2023 she was included in the inaugural TIME100 AI list of most influential people in AI.

Dr Alex Hanna is Director of Research at the Distributed AI Research Institute (DAIR) and a former senior research scientist on Google's Ethical AI team. She is an outspoken critic of the tech industry and a proponent of community-based uses of technology.
AI-First Mindset: The New Mindset for Success | Think Smarter, Work Faster, Learn More | A Practical Guide to Thriving in the Artificial Intelligence Era

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AI-First Mindset: The New Mindset for Success | Think Smarter, Work Faster, Learn More | A Practical Guide to Thriving in the Artificial Intelligence Era

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Darius Foroux is the author of 7 books, and founder of The Sounding Board. A past student of business, he writes about productivity, habits, decision making, and wealth building His ideas and work have been featured in TIME, NBC, Fast Company, Inc., Observer, and many more publications. 500K+ people read his blog every month, which he started in 2015 and uses as his main platform to connect with individuals across the globe who read his work or need guidance.
AI 2041: Ten Visions for Our Future

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AI 2041: Ten Visions for Our Future

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Kai-Fu Lee is the CEO of Sinovation Ventures and New York Times bestselling author of AI Superpowers. Lee was formerly the president of Google China and a senior executive at Microsoft, SGI, and Apple. Co-chair of the Artificial Intelligence Council at the World Economic Forum, he has a bachelor's degree from Columbia and a PhD from Carnegie Mellon. Lee's numerous honors include being named to the Time 100 and Wired 25 Icons lists.

Chen Qiufan (aka Stanley Chan) is an award-winning author, translator, creative producer, and curator. He is the president of the World Chinese Science Fiction Association. His works include Waste Tide, Future Diseases, and The Algorithm for Life. The founder of Thema Mundi, a content development studio, he lives in Beijing and Shanghai.
The AI-Savvy Leader: Nine Ways to Take Back Control and Make AI Work

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The AI-Savvy Leader: Nine Ways to Take Back Control and Make AI Work

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David De Cremer is dean of the D'Amore-McKim School of Business at Northeastern University and the founder and director of the Centre on AI Technology for Humankind (AiTH) at the National University of Singapore (NUS) Business School. He is the NUS representative for the scientific committee at AI Singapore, with a focus on AI governance. He is a member of EY's (formerly Ernst & Young) advisory board, guiding the development of its AI lab, and the author of Leadership by Algorithm and coauthor of Huawei: Leadership, Culture, and Connectivity. His work has appeared in Harvard Business Review, the Financial Times, the Wall Street Journal, and many other outlets. Find him at daviddecremer.com.
AI Needs You: How We Can Change AI's Future and Save Our Own

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AI Needs You: How We Can Change AI's Future and Save Our Own

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One of TIME's 100 Most Influential People in AI, Verity Harding is Director of the AI and Geopolitics Project at the Bennett Institute for Public Policy at the University of Cambridge and founder of Formation Advisory, a consultancy firm that advises on the future of technology and society. She was Google DeepMind's first Global Head of Policy and is a former political adviser to Britain’s deputy prime minister.
Human + Machine, Updated and Expanded: Reimagining Work in the Age of AI

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Human + Machine, Updated and Expanded: Reimagining Work in the Age of AI

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Paul R. Daugherty is Chief Technology and Innovation Officer at Accenture and is based in New York City. He founded Accenture’s AI business and leads Accenture's technology strategy, innovation, and R&D capabilities around the world. He is the coauthor of Radically Human: How New Technology Is Transforming Business and Shaping Our Future. Follow him on X @PaulDaugh.

H. James Wilson is Global Managing Director of Thought Leadership and Technology Research at Accenture Research. Based in San Francisco, he is the coauthor, with Paul Daugherty, of Radically Human: How New Technology Is Transforming Business and Shaping Our Future. Follow him on X @HJamesWilson.
AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference

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AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference

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Arvind Narayanan is professor of computer science at Princeton University and director of its Center for Information Technology Policy. He is the coauthor of Bitcoin and Cryptocurrency Technologies (Princeton) and Fairness and Machine Learning.

Sayash Kapoor is a PhD candidate in computer science at Princeton. He previously worked as a software engineer at Facebook, where he helped create AI for content moderation. To learn more, please visit AISnakeOil.com.

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