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Оглавление - Artificial intelligence. Freefall
- Introduction
- Part 1. Introduction to Artificial Intelligence
- Chapter 1. Introduction to AI
- What is artificial intelligence?
- How are AI models trained?
- General features of current AI-based solutions
- Chapter 2: Weak, Strong, and Super-Strong AI
- Weak AI
- Strong and super — strong AI-what is it?
- Limitations on the path to strong AI
- Chapter 3. What can weak AI do and general trends?
- Weak AI in applied tasks
- Key trends
- Chapter 4. Generative AI
- What is generative artificial intelligence?
- Generative AI Challenges
- AI limitations that lead to problems
- What should I do?
- Resume
- Chapter 5. AI Regulation
- Why is AI development a concern?
- What initiatives are there in 2023—2024?
- Forecast for the future
- Resume
- Chapter 6. Safety of AI
- Invalid events to exclude
- Scenarios for the occurrence of invalid events
- Why can these scenarios be implemented?
- Crash tests and requirements for AI solutions
- Chapter 7. Digital Expert Advisors
- Introduction
- How do DSS work and what’s wrong with them?
- What to do and where to run?
- Chapter 8. Neuromorphic and Quantum AI
- Neuromorphic systems
- Quantum systems
- Resume
- Summary of the first part
- Part 2. Artificial intelligence in a system approach
- Chapter 9. Strategy and organizational structure
- The impact of AI
- Impact on AI
- Chapter 10. Business processes
- The impact of AI
- Impact on AI
- Chapter 11. Project, Change, and Product Management
- The impact of AI
- Impact on AI
- 7 deadly sins in digitalization (including AI)
- Resume
- Chapter 12. Communication
- The impact of AI
- Impact on AI
- Chapter 13. Digital technologies, working with data and cybersecurity
- Digital technologies
- IT-systems
- Chapter 14. Regular management practices
- Chapter 15. Lean Manufacturing and Systems Constraint Theory
- The impact of AI
- Mutual influence
- Chapter 16. The impact of AI on the processes of functional areas
- Digital Business
- Digital Marketing
- Digital manufacturing
- Digital Analytics
- Digital products
- New ways of working
- Summary of the second part
- Part 3. Practical examples and recommendations in the use of artificial intelligence
- Chapter 17. AI for Small businesses and Entrepreneurs
- Using AI in 1C solutions
- Marketplaces for specialized AI solutions
- Digital advisor for project management
- Generative AI for content creators
- Recommendations for small and medium-sized businesses
- Chapter 18. Examples and recommendations for medium and large businesses
- Generative AI for making deals
- Using Big Data + IoT + AI on China’s Railways
- Application of AI in power supply
- Application of AI at Norilsk Nickel
- Applying AI in EuroChem
- Application of AI in ore processing
- Artificial intelligence for technical support
- Recommendations for large business
- Chapter 19. How to manage technology implementation projects
- Project lifecycle
- Defining project goals and possible effects
- Roles in the project
- Algorithm for executing local projects of departments
- Algorithm for performing cross-functional projects
- Algorithm for executing strategic projects
- Chapter 20. System approach to implementation and roadmap
- About the wave of hype based on artificial intelligence
- A systematic approach to AI implementation
- Roadmap and links to other projects
- Conclusion