The most important things about artificial intelligence for top managers.

AI era: achievements and opportunities, failures and risks.

Fundamental limitations of digital technologies development and prospects of generalized AI creation.

Synergy between humans and AI.

What value can executives create with artificial intelligence?

Industry mapping: opportunities for using AI in different industries.

Conditions for successful AI integration in companies.

Three levels of AI usage: software, code, and multi-agent models.

Multi-agent models and added intelligence of teams: faster response to weak market signals and search for competitive solutions and creative approaches.

What is Swarm AI and how it affects the process of solving complex problems?

Artificial intelligence: machine, swarm, and augmented. What is the fundamental difference?

Limitations of generative artificial intelligence: lack of contextual awareness.

Why the best data is insights from corporate communities that sense context and prioritization?

Swarm AI (swarm intelligence) is a collective decision-making technology where human expertise is enhanced and complemented by the collective intelligence of artificial swarms.

Reactive and proactive products of interaction with AI.

Practical work by a team of participants together with multi-agent models.

Research: how Swarm AI expands the range of possible solutions. 

A roadmap for integrating AI into team work.