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Every organization is pursuing AI—and fast—but are they truly set up to succeed at it? Or are they at risk of their AI falling short of expectations—or even failing altogether?
Boards are pushing hard, businesses are diving in, technology teams are experimenting, pilots are in place. But what is MISSING from their AI? Most organizations have not first properly defined their end-to-end AI roadmap and put the right foundations in place, especially regarding their DATA. Most data is not ready for AI production, so how do you know if you can trust your data, and trust the output from your LLMs?
Join EDM Association as we discuss our recommended roadmap for AI optimization. We will give you a preview of the content from our new AI Optimization Masterclass which outlines how to:
- Build a modern AI data layer: including data management frameworks, data catalogue, metadata, business context, and technology architecture and tools
- Develop the AI semantic layer: leveraging knowledge graphs, ontologies, data automation and controls, and scalable data products
- Accelerate AI with graph integration: exploring enterprise-ready graph databases, LLMs and the specific upskilling needed to keep the “human in the loop”
Speakers
