EXPLORE THE NEXT FRONTIER.
Six connected tracks, from information quality and architecture to models, agents and intelligent applications.
AI & AGENTS
Connect useful agents with current, traceable information and retrieval evidence.
- Generative and multimodal AI
- Agent reasoning and tool use
- Evaluation and human interaction
- Knowledge graphs, retrieval corpora and authorised sources
DATA ENGINEERING
Build dependable data foundations with clear quality, freshness and ownership.
- Data pipelines and streaming
- Data quality and observability
- Interoperability and architectures
- Data contracts, semantic layers and schema evolution
MACHINE LEARNING
Examine how datasets, evaluation and deployment choices shape model results.
- Learning methods and model evaluation
- Deployment and MLOps
- Efficient and distributed learning
- Synthetic dataset utility and reproducible data versions
ANALYTICS
Turn changing information into evidence for timely, useful decisions.
- Decision support and visualization
- Natural-language data interfaces
- Measurement and experimentation
- Event-time correctness, streaming features and freshness
GOVERNANCE & TRUST
Follow ownership, lineage and access rules from source data to AI use.
- Privacy and data stewardship
- Reliability and model risk
- Responsible evaluation and transparency
- Access propagation, lineage and synthetic-data disclosure risk
APPLICATIONS
Connect reliable information with intelligent workflows and practical problems.
- Intelligent products and workflows
- Robotics and embodied systems
- Scientific and industrial applications
- Knowledge-intensive applications and retrieval case studies
KEEP EXPLORING
REGISTRATION