How GenAI-Optimised Data Elevates LLM Performance

How GenAI-Optimised Data Elevates LLM Performance

Join us as we explore how the strategic use of GenAI-optimised data can be used to enhance Large Language Models (LLMs) in redefining regulatory compliance and risk management.

Discover how RegGenome regulatory data improves both the accuracy and efficiency of LLMs, paving the way for a future where regulatory compliance is not only streamlined, but also a key competitive advantage.

This insightful session, hosted by our Chief Technology, Officer Henry Garner and Senior Data Scientist, Max Ashton-Lelliott, offers a unique opportunity for technology, compliance, and legal teams as well as application providers to delve into the transformative power of GenAI-optimised data in enhancing regulatory risk management, and driving operational excellence.

What will you learn?

  • How to use GenAI to automate document handling and scale regulatory solutions
  • Decision-making strategies powered by comprehensive document analysis
  • Efficient ways to identify and mitigate compliance risks using RegGenome’s dataset

Key Benefits:

  • Stay ahead of regulatory changes and reduce the compliance burden
  • Enhance regulatory research with contextually aware metadata
  • Gain insights from practical case studies

Sign-up today to delve into this insightful webinar recording. 

Related Resources

Discover our range of resources designed to help you streamline regulatory risk management and stay ahead of regulatory complexities.

Explore our latest insights

BLOG

Specialised AI + Structured Regulatory Data: What it Means for RegTech Pipelines

RegGenome research shows specialised AI with structured regulatory data beats general LLMs on accuracy, stability, cost and human review time [...]

Read more

BLOG

Why GRC platforms are running into a framework expansion problem

GRC platforms need to support more frameworks, more local variants and clearer traceability. The constraint is often the regulatory data [...]

Read more

BLOG

Why AI-Ready Data Is Critical Now

How structured regulatory data enables RegTechs to scale AI features, deliver defensible outputs, and remove the bottlenecks caused by fragmented [...]

Read more