Real Time AI at Scale

Real-time AI starts with real-time data. The amount of data is exploding, requiring more capacity and more scale. AI workloads require predictable low-latency performance at scale.
In this talk, you’ll learn about the challenges that emerge when common use cases like feature stores and vector search grow and push the boundaries of scale. We will also cover how modern database architecture can be used to handle different AI applications.
The talk will use real-world examples from the field.

Lecturer: Guy Shtub, Head of Training at ScyllaDB

Language: English

About the lecturer:
Guy Shtub is Head of Training at ScyllaDB and holds a B.SC. degree in Software Engineering from Ben Gurion University. He co-founded two start-ups and is experienced in creating products that people love.