Inner Circle

In a world being transformed by generative AI, data leaders must enable their teams to adapt and thrive in the midst of rapid change. Self-service models are becoming more popular and are being enhanced with the power of AI, expanding model capabilities. But if augmented self-service tools are deployed and scaled without appropriate guardrails, they will fail. In order to be successful, data and analytics leaders must ensure they can quickly take advantage of expanding self-service capabilities, while modernizing data governance to balance data democratization and the ethical use of data for decision-making.  

In this interactive discussion, CDAOs will explore strategies to prepare for the adoption of generative AI and best practices to leverage AI-powered self-service models.

Topic 1: Developing data strategies to support adoption of generative AI

• Are your data teams able to effectively feed data pipelines for AI?
• How do you expect this to change to support new generative AI-powered applications?
• How are you ensuring data privacy and protection of sensitive data? How will this be impacted by generative AI? 

Topic 2: Expanding self-service capabilities with generative AI

• Are you planning to expand self-service capabilities leveraging generative AI?
• How are you training teams across your organization to take advantage of these new capabilities?
• How are you building context into data and monitoring quality and privacy requirements to maintain trust?