Virtual Event

Data remix: AI-Driven insights with Postgres

July 11, 2024 | 11:00 AM - 12:00 PM ET


Your enterprise applications generate large amounts of data dispersed across multiple systems. From your internal documentation, content management systems, helpdesk systems, and others, there are data sets ready to be leveraged for AI.
Enterprises can find value in reusing and amplifying that data with AI tools using Postgres. There’s some great tools out there already to let you connect to AI engines while keeping and storing the vector data so you can build applications, insights, and more. We’ll review how to use your data to create vector data and how to query those embeddings to get insights for AI tools using Postgres. 
If your data isn't in Postgres yet, don’t worry, we’ll show you how to use open-source tools to connect your systems. The best part is, this already fits into all of your Red Hat® enterprise systems at no extra cost. You’ll leave this webinar with the tools to remix your data sets and bring AI intelligence into your existing systems. 

Virtual event details

Time: 11:00 AM - 12:00 PM (GMT-04:00) Eastern Time (US & Canada)

Date: Thursday, July 11, 2024

Any questions? Please email


Karen Headshot


Karen has worked with databases for over 20 years and comes from an Oracle background and finds herself a huge fan of open-source PostgreSQL. In Karen’s role at Crunchy Data as a Senior Solutions Architect she equips clients with the architecture and tools to run Postgres at scale in large production environments. Karen has recently been experimenting with the AI tools inside Postgres and has given several talks on AI data in Europe and the U.S.
Andrew Headshot

Andrew Sheet

Andrew Sheet is a Senior Consultant and has been with Red Hat for over 6 years. He belongs to the AI-practice services team which focuses on deploying and configuring data science platforms, machine learning DevOps, and AI workloads. He has contributed to many consulting efforts and successes in the healthcare, telecom, and commercial spaces. Currently, Andrew’s focus is to collaborate with teams to grow and enhance their ML and AI projects using Red Hat OpenShift® AI.


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