Spell introduces MLOps for deep learning

The machine learning operations (MLOps) product category has been moving quickly, especially in the last year, and several platforms have emerged to take it on. Cloud providers including AWS and Microsoft, analytics players including Databricks and Cloudera, MLOps pure plays like Algorithmia, and even open source projects like MLflow, offer integrated platforms to manage machine learning model experimentation, deployment, monitoring and explainability. Now Spell, a New York City-based MLOps startup, is providing an MLOps platform specifically geared to deep learning. As such, Spell refers to its platform, announced last week, as facilitating "DLOps." ZDNet spoke with Spell's head of marketing, Tim Negris as well as its CEO and co-founder, Serkan Piantino (who previously served as Director of Engineering at Facebook AI Research, and who opened Facebook's New York City office).