Accelerating Innovation With Unified Analytics - The Databricks Blog

Artificial Intelligence (AI) has massive potential to drive disruptive innovations affecting most enterprises on the planet. However, most enterprises are struggling to succeed with AI . Simply put, AI and Data are siloed in different systems and different organizations. Enterprise data is siloed across hundreds of systems such as data warehouses, data lakes, databases and file systems that are not AI-enabled. Popular machine learning frameworks such as TensorFlow, PyTorch, and SciKit-Learn don't do data processing.