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 […]
The training set used to train the ML model can be labeled by humans who may have been biased during the tagging process. For example, in a system that predicts the success rate of a job candidate, if the labeling was done by a person who is biased (intentionally or unintentionally), the ML model will learn the bias that exists in the labeled data set it receives.
Learn more about AI Bias & Fairness here.
