Seldon has released a new Microservices API that allows developers to build their own real-time predictive scoring components and utilize them from within the Seldon predictive engine. This makes it simple to test and develop new predictive algorithms while taking advantage of the A/B testing, optimization and caching layers of Seldon.
Components can be added and removed with no downtime in production and A/B tested against existing algorithms. These additions make it easier for data science teams to quickly experiment and provide focused solutions to their specific business cases while taking advantage of the surrounding production-grade framework Seldon provides for a predictive data pipeline, such as data ingestion, A/B testing, algorithm switching, optimization, caching, filtering, and results combining.
For find out more about the Microservices API, please read the technical docs.
Clive is Chief Technology Officer at Seldon and has more than 25 years of experience in IT and technology. Since its launch in 2014, Clive has led the creation of the company’s core product offering. Clive is a regular speaker at industry-leading conferences where he relays the story of Seldon’s technology, and has contributed to many ML open source projects, including Kubeflow. His PhD research was on Natural Language Processing and he previously worked successfully for early speech recognition pioneers.