Our fourth book is dedicated to the great and formidable Artificial Intelligence, which has caused quite a stir and sparked numerous speculations. Some consider it just another bubble, while others fear losing their jobs. Meanwhile, the world's largest consulting firms are portraying AI as the ultimate savior of businesses in times of crisis.
In this book, you will discover the real state of affairs: what AI is, what it can and cannot do, the technical, organizational, and psychological challenges associated with it, and what to expect in the next 10–20 years.
You can read a fragment HERE >>>
Contents
Part 1. Introduction to Artificial Intelligence
Chapter 1. Introduction to AI
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What is artificial intelligence?
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How are AI models trained?
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General features of current AI-based solutions
Chapter 2: Weak, Strong, and Super-Strong AI
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Weak AI
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Strong and super — strong AI-what is it?
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Limitations on the path to strong AI
Chapter 3. What can weak AI do and general trends?
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Weak AI in applied tasks
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Key trends
Chapter 4. Generative AI
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What is generative artificial intelligence?
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Generative AI Challenges
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AI limitations that lead to problems
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What should I do?
Chapter 5. AI Regulation
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Why is AI development a concern?
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What initiatives are there in 2023—2024?
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Forecast for the future
Chapter 6. Safety of AI
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Invalid events to exclude
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Scenarios for the occurrence of invalid events
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Why can these scenarios be implemented?
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Crash tests and requirements for AI solutions
Chapter 7. Digital Expert Advisors
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How do DSS work and what’s wrong with them?
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What to do and where to run?
Chapter 8. Neuromorphic and Quantum AI
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Neuromorphic systems
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Quantum systems
Part 2. Artificial intelligence in a system approach
Chapter 9. Strategy and organizational structure
Chapter 10. Business processes
Chapter 11. Project, Change, and Product Management
Chapter 12. Communication
Chapter 13. Digital technologies, working with data and cybersecurity
Chapter 14. Regular management practices
Chapter 15. Lean Manufacturing and Systems Constraint Theory
Chapter 16. The impact of AI on the processes of functional areas
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Digital business
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Digital marketing
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Digital manufacturing
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Digital analytics
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Digital products
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New ways of working
Part 3. Practical examples and recommendations in the use of artificial intelligence
Chapter 17. AI for Small businesses and Entrepreneurs
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Using AI in 1C solutions
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Marketplaces for specialized AI solutions
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Digital advisor for project management
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Generative AI for content creators
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Recommendations for small and medium-sized businesses
Chapter 18. Examples and recommendations for medium and large businesses
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Generative AI for making deals
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Using Big Data + IoT + AI on China’s Railways
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Application of AI in power supply
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Application of AI at Norilsk Nickel
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Applying AI in EuroChem
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Application of AI in ore processing
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Artificial intelligence for technical support
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Recommendations for large business
Chapter 19. How to manage technology implementation projects
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Project lifecycle
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Defining project goals and possible effects
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Roles in the project
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Algorithm for executing local projects of departments
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Algorithm for performing cross-functional projects
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Algorithm for executing strategic projects
Chapter 20. System approach to implementation and roadmap
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About the wave of hype based on artificial intelligence
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A systematic approach to AI implementation
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Roadmap and links to other projects