AI agents are appearing across every enterprise platform, but most still struggle to move beyond scripted automation into systems that can reason, adapt, and operate within real workflows.

On this episode of Ctrl + Alt + AI, Dimitri Sirota,  speaks with Justin Heller, former Chief Data Officer at Synchrony Financial and Chief Data & AI Officer of Quantify Data Advisors, about how organizations can leverage their existing data to reduce cyber risks, manage unstructured data, and integrate AI effectively. Justin, formerly the Chief Data Officer at Synchrony Financial, shares insights on the evolving role of data governance in an AI-driven world and the importance of shifting from a "pilot" mentality to creating sustainable AI-driven business value. Tune in as they unpack the complexities of managing both structured and unstructured data, ensuring relevance, and achieving true data governance alignment with emerging AI technologies.

What to expect:

• How organizations can use existing data assets to reduce cyber risks and enhance AI initiatives

• Why relevance, not just accuracy, is the key to effective AI and data management

• The importance of connecting unstructured data, metadata, and AI systems for better decision-making

Things to listen for: 

(00:00) Meet Justin Heller

(01:25) Justin’s transition from CDO to data advisor

(02:35) From structured to unstructured data in AI environments

(04:24) Why context engineering is critical for AI-driven business decisions

(06:00) Moving beyond AI pilot projects to sustainable value

(08:30) How data stewards can work with AI tools

(09:00) Integrating AI across existing business processes

(10:03) Building governance models for unstructured data

(13:00) AI in unstructured data repositories: Best practices

(15:00) Measuring ROI from generative AI in enterprises

(18:00) Cross-functional collaboration for effective AI implementation

(20:00) The role of CDAOs in driving AI-related outcomes

(21:30) Shifting from pilot programs to ongoing AI-driven business value