Meeting the Challenge of Data Privacy & Ethics for AI (Panel)
When using customer data for machine learning models, there are some considerations around data privacy and ethics of data collection, storage, and usage of that data. Companies have long treated data as assets, so it should come as no surprise that they take the use of this data seriously. Organizations are increasingly establishing rigorous governance processes around their data management. This panel will explore how various industries and companies are approaching the challenge of data privacy & ethics for AI.
Databricks is the data and AI company. Thousands of organizations worldwide rely on Databricks’ open and unified platform for data engineering, machine learning and analytics. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to solve the world’s toughest problems.
DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models.