Session: Do I need an ML-specific database in my modern data stack?

Dale McDiarmid, Product Engineer @ ClickHouse

Are you exploring leveraging advancements in AI like ChatGPT and other LLMs? Are you trying to work out how to fit them into your existing architecture, or wondering where to start?
In this session, we explore vectors, how they relate to LLMs like ChatGPT, and how they're used to power AI functionality in everyday applications. We cover the rise of vector databases, when they're needed, and when they aren't.

You'll leave the session with a buyer's guide to the decision process, and hopefully answer the question: "Do I need a vector database?"

All without asking ChatGPT.

Where & when?

Enterprise Data Summit 2023 took place virtually on June 7th, 2023.

What is the cost to attend the virtual sessions?

EDS 2023 is always free and open for all to attend.

What is Enterprise Data Summit?

Data initiatives and priorities are often affected by resources, organizational structure, and data maturity, all of which can be different inside an enterprise-sized company or for teams processing data at scale.

Enterprise Data Summit is an annual day where leaders from large companies looking to succeed with large-scale data systems can explore ways to modernize their data platforms, enable engineering best practices, allocate resources efficiently, and wrangle topics like data observability.

Who comes to EDS?

Data, analytics, AI, data science, and other team and department leadership, engineers and administrators, FinOps, and risk/compliance officers.

Join us for talks that include:
  • Guiding enterprise-level data teams
  • Modernizing data platforms
  • Cloud financial management
  • Succeeding with large-scale data systems
  • Data reliability
  • Resource allocation
  • Use cases for data observability
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Thank you to our 2023 sponsors who made Enterprise Data Summit possible