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 […]
Start integrating our products and tools.
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 […]
Due to changes in a third-party data source or due to internal data pipeline changes, a model might encounter unexpected types of data. It might receive a “Big int” when it was expecting an int; or a unicode string when it was expecting ASCII. It’s common to also encounter situations when fields that should be ints are interchangeably both ints and strings (as well as vice versa!). All these situations often cause unnecessary processing errors and incorrect predictions.
Learn more about type mismatch and how it affects your model in production.
