Inner Circle

Companies must modernize to remain competitive in today’s dynamic business environment, but siloed, unreliable data makes digital transformation virtually impossible. Traditional solutions to data fragmentation are failing because they are unable to power business applications in real-time and fail to deliver reliable data where and when it’s needed. As a result, they fail to deliver on business value. Companies need data unification and management capabilities to deliver interoperable data that is trusted, adaptable, and mobilized.

In this interactive discussion, CDAOs will explore ways to establish a data unification strategy and navigate core data challenges for AI.

Topic 1: Establishing a data unification strategy

• How are you defining clear objectives and goals for data unification?
• What guides you in assessing and selecting appropriate data unification tools and technologies?
• Where do you start in implementing a comprehensive data governance framework to ensure the success of the data unification strategy?

Topic 2: Navigating AI challenges with trusted and secure core data

• How can organizations ensure the integrity and reliability of core data when integrating AI systems into their operations?
• What are the key strategies for mitigating security risks associated with AI-driven data processing and decision-making?
• In what ways can transparent data governance frameworks contribute to building trust and accountability in AI applications reliant on core data?