Register now for - "Turbocharging Data Management and Analytics with GenAI Assistants" - Thursday, March 21, 2024 at 11:30 a.m. Eastern Time.

Slides: Time to Get Domain-Specific: Feeding Enterprise Data to Generative AI

To compete in the age of GenAI, companies are applying language models to their own domain-specific data. They aim to boost productivity and enrich digital interactions while minimizing governance risks such as hallucinations. These domain-specific language models require new data pipelines that comprise text or other semi-structured data, vector databases, and custom applications. 

This webinar offers a guide for data engineers, data scientists, and ML engineers that must design and manage these pipelines. It explores three primary approaches to supporting domain-specific language models: prompt enrichment, one-shot prompting, and retrieval-augmented generation (RAG). In each case data teams aim to provide language models with the facts and context they need to generate accurate, trustworthy, and governed responses that drive value for the business. Join our webinar with Kevin Petrie, VP of Research at Eckerson Group, and Cyril Sonnefraud, Principal Product Manager of Matillion, to learn:

• What generative AI is and how it works  

 Why companies are adopting domain-specific language models 

 How data pipelines support these GenAI initiatives  

• How prompt enrichment, one-shot prompting, and RAG compare with one another  

 What criteria to use when evaluating these approaches 

Sponsor: Matillion

Kevin Petrie

Kevin is the VP of Research at Eckerson Group, where he manages the research agenda and writes about topics such as data integration, data observability, machine learning, and cloud data...

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