The emergence of generative AI represents a generational change in our industry—perhaps for society at large. However, it also raises critical challenges around privacy, security, ethics, and reliability. For those of working extensively with data, we need new strategies.
In this keynote, Donald Farmer will provide an accessible overview of the challenges and benefits of generative AI as it relates to data management. He will outline key data governance considerations such as frameworks for data quality, compliance, IP protection, and transparency. Maintaining rigorous model oversight and evaluation processes is also crucial to uphold accuracy and user trust.
Farmer will describe how to get started with generative AI using your own data in a responsible manner. Many businesses don’t have the skills to do this work internally, so Farmer will address best practices for working with third-party AI vendors and leveraging proprietary data with care.
You will leave this session with greater clarity on how to harness the power of generative AI while upholding robust data governance, regulatory compliance, and trust. The insights will equip business and technical leaders to pursue AI opportunities wisely and minimize risks through governance, transparency, and ethical implementation.