The most advanced ML Observability platform
We’re super excited to share that Aporia is now the first ML observability offering integration to the Databricks Lakehouse Platform. This partnership means that you can now effortlessly automate your data pipelines, monitor, visualize, and explain your ML models in production. Aporia and Databricks: A Match Made in Data Heaven One key benefit of this […]
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We’re excited 😁 to share that Forbes has named Aporia a Next Billion-Dollar Company. This recognition comes on the heels of our recent $25 million Series A funding and is a huge testament that Aporia’s mission and the need for trust in AI are more relevant than ever. We are very proud to be listed […]
When processing jobs fail they often leave important fields empty. Other times, a third-party vendor may simply omit or deprecate a field in their API without notice. When this happens, the model is not receiving data for fields that it is trained on and expecting. While some models are able to deal well with missing values, many are not.
Learn more about dropped fields and how it affects your model in production.
