Allen Terleto, Field Chief Technology Officer | Redis
For decades, the market for data platforms has been in a constant flux as distributed architectures paved the way for the emergence of NoSQL, event-streaming, data lakes, distributed SQL, and more. While this led to incredible innovations, ever-growing VC-backed valuations and competition pressured platform vendors to find new revenue streams beyond their primary market categories. This led to a convergence of data platform capabilities which continues with the downturn in macroeconomic conditions and tightening of enterprise budgets.
In this session, we'll discuss data platform convergence and its impact on vector search within the red-hot Generative AI market. We'll cover how new techniques such as Retrieval Augmented Generation can reduce costs, complexity, and risk-exposure. And highlight how a single platform, such as Redis, is in the middle of the convergence movement by combining NoSQL, distributed SQL, event-streaming, vector similarity search, and more.