RedisDays London 2022: Real-Time Data Pipelines - NLP + Redis

What does it take to design and build real-time 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 real-time natural language processing (NLP) data pipelines using Redis to transform financial services processes. The main points addressed during this one-on-one conversation: - NLP helps to analyze and understand free-form 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 in-memory data layer like Redis. - Redis Streams/RedisGears provides distributed data ingestion and compute, RedisGraph stores the knowledge graphs, and RedisAI drives the m