Two day course
Enterprise Architecture for the AI data layer
Building a Modern AI Data Layer
Leveraging EDM Association’s global, industry-defined best practice frameworks and standards, including DCAM and CDMC & knowledge graphs ,you will learn how to identify data management gaps, implement a modern data catalogue for shared common language, metadata management for explainable AI models, and embed business context into your LLMs. You will learn what is required to integrate data, technology architecture and tooling across the latest technology stacks on the market which is critical for accurate AI and cost saving.
Developing the AI Semantic Layer: How to manage meaning and context across your AI models and agents.
Leveraging our industry best practices from EDMA’s global knowledge graph course, case studies and from our global industry ontologies (e.g., FIBO and Pharma), you will learn how to design and develop a semantic layer that will provide your organisation with shared business meaning and machine readable language that your AI & Agents can understand.
In addition, you will learn how to apply the latest AI accelerators based on best practices from Europe and US leading organisations who have successfully implemented semantic models, knowledge graphs, ontologies to enhance the accuracy of thier AI data and signficantly reduce hallucinations fo their AI models for safe, explainable consumpton.
Once you’ve had the opportunity to meet with the leadership and marketing teams, would you be able to provide us with an update on where things are at and the proposed marketing plan for the workshop before everyone heads off for the summer break? It would be great to ensure we’re all aligned on the rollout and next steps.
Datum
9-10 september
Lärare
Henrik Ekstam
Plats
Digital
Pris
14 000 SEK ex. moms
Course leader
Henrik Ekstam
Rådgivare