5 AI startups leading MLops
By Ian Pointer
Along with the huge and increasing demand for AI applications, there’s a complementary hunger for infrastructure and supporting software that make AI applications possible. From data preparation and training to deployment and beyond, a number of startups have arrived on the scene to guide you through the nascent world of MLops. Here’s a look at some of the more interesting ones that will make your AI initiatives more successful.
Weights & Biases is becoming a heavyweight presence in the machine learning space, especially among data scientists who want a comprehensive and well-designed experiment tracking service. Firstly, W&B has out-of the box integration with almost every popular machine learning library (plus it’s easy enough to add custom metrics).
Secondly, you can use as much of W&B as you need — as a turbo-charged version of Tensorboard, or also as a way to control and report on hyperparameter tuning, or also as a collaborative center where everybody in your data science team can see results or reproduce experiments run by other team members. For the enterprise, W&B can even be used as a governance and provenance platform, providing an audit trail of which inputs, transformations, and experiments were used to build a model as the model goes from development to production.
