ON-DEMAND WEBINAR — 60 MINUTES
Unlock Enterprise AI: Customize LLMs With Your Own Data Pipelines
Explore the realm of Large Language Models (LLMs) and discover how to enrich existing models with data pipelines from your own data sources.
About the Webinar
Learn how to leverage frameworks like Retrieval Augmented Generation (RAG) and automated data pipelines to feed business facts into an LLM. This workshop will discuss the architectural and data science requirements for making this happen with a data pipeline orchestration engine.
In 60 minutes, we cover:
- Enterprise AI Evolution: How data integration into LLMs revolutionizes how organizations generate and deliver insights.
- Automating the Future: How data pipeline automation can significantly boost developer throughput, enabling faster, streamlined LLM deployments.
- Retrieval Augmented Generation (RAG): Explore this cutting-edge technology that empowers LLMs to pull data seamlessly from existing enterprise systems for richer, context-aware answers.
- Real-World Use Cases: See how you can harness the power of Ascend.io’s platform in conjunction with LLMs to achieve unparalleled business results.
About the Host
Jon Osborn
Field CTO @ Ascend.io
Experienced technology executive with deep management and development experience using cloud-native solutions for agile data delivery.
He is passionate about building high-performance teams and zero impedance paths to production. With his background and track record of success, he excels at defining the combinations of business justification, executive support, mindset shift, and cultural changes required to drive a winning data modernization strategy.
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Data partitioning creates subsets of the data that improve performance and reduce cost. Discover the powerful partitioning capabilities of Ascend.
