The biggest challenges that businesses face when implementing AI projects relate to the handling of data as it often sits in a separate silo. Analytics specialist Databricks is addressing this problem with a Unified Analytics Platform with new capabilities to unify data and AI teams and technologies. It offers MLflow for developing an end-to-end machine learning workflow, Databricks Runtime for ML to simplify distributed machine learning, plus Databricks Delta for data reliability and performance at scale. "To derive value from AI, enterprises are dependent on their existing data and ability to iteratively do machine learning on massive data sets. Today’s…
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