Openlayer is a powerful testing and observability platform for ML. It lets you collaborate with others on finding issues in models and data, debugging them, and committing new versions.
I love OpenLayer because it allows not just engineers, but PMs, analysts, and managers to participate in the ML development process. Finally, a way to catch errors before the product gets into the hands of users!
This is awesome! Having a great debugging workspace on par with software engineering debugging has always been a pain point to me when working on finance data and autonomous driving. What are some of the use cases you enable today?
Hey @lawlm thanks! Companies and orgs in the finance space stand to benefit greatly from Openlayer. Many of the people we work with use us to help de-bias and improve the accuracy of models that predict whether to give loans, or whether a transaction is fraudulent, for example. These use cases are especially important because they have a large impact on people's lives, so it's critical to invest in evaluating these models.
Great integrated product for giving visibility into ML models, highly recommend for anyone looking for a way to benchmark, evaluate, and iterate on their models (which everyone should!)
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