Redis Days London 2022: Real Time Data Pipelines NLP + Redis

What does it take to design and build realtime Natural Language Processing (NLP) data pipelines In this fireside chat, our speakers dive deep into artificial intelligence and machine learning. Learn more about RedisDays London RedisDays London wrapped up with a fireside chat between Allen Terleto, Field CTO at Redis, and Alexander Mikhalev, AI, ML Architect at Nationwide Building Society, who discussed building realtime natural language processing (NLP) data pipelines using Redis to transform financial services processes. The main points addressed during this oneonone conversation: NLP helps to analyze and understand freeform and unstructured text. Use cases include the summation of large amounts of text and Q A chatbots. NLP requires the performance and scalability of an inmemory data layer like Redis. Redis Streams, RedisGears provides distributed data ingestion and compute, RedisGraph stores the knowledge graphs, and RedisAI drives the m