IBM AI Roadmap
Large-scale self-supervised neural networks, i.e., foundation models, multiply the productivity and the multi-modal capabilities of AI. More general forms of AI emerge to support reasoning and common-sense knowledge.
AI
Roadmap
Strategic milestones
All information being released represents IBM’s current intent, is subject to change or withdrawal, and represents only goals and objectives.
2029
Trustworthy and explainable AI starts to reason
2029 will be an inflection point. AI will support diverse forms of reasoning with explainability and trust. Energy efficiency will increase 4x more and scalable, operationalized AI models will be routine in enterprises.
Why this matters for our clients and the world
2029 AI means robust and explainable NLP, reasoning over text, and generation of knowledge and trustworthy natural language to advance mission critical use cases. Tuning of domain-specific AI models will be 10x faster and cheaper.
The technologies and innovations that will make this possible
Advances in reasoning-driven attention mechanisms and network architectures will support reasoning tasks (causal, symbolic, compositional, common-sense, etc.). Reasoning and learning architectures will be integrated through representations that enable seamless communication between learning and reasoning modules in a network.
The platform or infrastructure for delivering these innovations
watsonx will support emerging architectures based on the principles of biological neural computations.