Behind the Scenes: Using AI to reveal trading signals buried in corporate filings

Corporate filings (10-K/Q) contain a wealth of business information including key risks, market opportunities, competitive landscape, and much more. How do you surface this relevant information to traders and customers with millisecond latency?

Teams from Redis and Microsoft expand on how the Vector Similarity Search keynote demo addressing this problem was built. In the process, we will describe an end-to-end AI/ML pipeline combining Redis’ new vector similarity search technology, transformer embeddings, and Microsoft Azure ML services.