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Building a Real-Time ML Pipeline with a Feature Store - MLOps Live #16

With the growing business demand for real-time use cases such as NLP, fraud prediction, predictive maintenance and real-time recommendations, ML teams are feeling immense pressure to solve the operational challenges of real-time feature engineering for machine learning, in a simple and reproducible way. This is where online feature stores come in. An online feature store accelerates the development and deployment of online AI applications by automating feature engineering and providing a single pane of glass to build, share and manage features across the organization.

DevTestOps Orchestration for Agile Teams | What & How to Make It Right

The three key positions in a software development team are developer, tester, and operations. Required tasks among these positions are continuously changing and evolving and are continuously changed and reinvented. To speed up the development process, development and operations were integrated, which is now referred to as DevOps. Unfortunately, a critical layer between Dev and Ops was overlooked: the fixed cycle of testing.