Bipin Chadha

Most CDOs are stuck proving AI's value through efficiency metrics rather than revenue growth, conversion lift or customer retention – despite boards demanding tangible business impact. Cut through the hype of AI and take a longer-term AI strategy to shift from scattered PoCs to production AI that moves frontline outcomes with real before/after metrics from end-to-end use cases.

• Hear how to generate visible before/after improvements of innovative AI implementation and clearly communicate this to your wider organization and your board.

• Audit and kill weak initiatives to double down on the 20% of AI use cases that drive real growth for your organization, positioning your AI strategy as a service for frontline monetization

Banking, Financial Services, and Insurance companies have every reason to be conservative, but they don't have to be static. Modern CDOs are finding ways to accelerate innovation safely by adopting progressive exposure patterns – a disciplined, stepwise approach to data deployment where models, insights and products are first validated in a limited, low-risk environment before being scaled wider. Thus, a pragmatic model allows CDOs to drive real, tangible impact in their organisations to prove their value and position as a key department and generate organizational respect.

• Hear how other CDOs from conservative industries have made a mindset shift from control-only postures to growth-oriented leadership.

• Discobver key governance tools that balance speed, safety and measurable value creation in progressive exposure.

• Explore frameworks for proving data-driven ROI quickly, such as 'progressiveexposure' to unlock larger budgets, credibility and organizational respect