The past, present and future of AI
Ai social-science concepts
Key cognitive and machine learning approaches
AI technologies : from computer vision to drones
AI and blockchain, IOT, cybersecurity, and quantum computing
Enablers and preconditions to achieve AI
The race for AI dominance : from full-stack providers to "AI-as-a-service" companies
AI crossplay : academia and the private sector
The geopolitics of AI: China vs. USA
Full-stack companies: the battle of the giants
Product and domain-focused ML companies
Traditional and new enterprise companies focused on ML
Introducing AI into a traditional business
AI in different sectors : from autos to military robots
AI and the automotive industry
AI and the financial sector
AI in natural resources and utilities
AI in other business sectors
AI in government and military
The socio-politics of AI : critical issues
Data-control, AI and societies
The future of employment and the pursuit of life-long learning
Ethical design and social governance
The governance of AI : a practical roadmap for business
Traditional boards? readiness to address AI : transforming fear into value
Discussing AI in the boardroom
