Prakash Kamath

Fuel your morning with a stimulating exercise designed to engage, enlighten, and evolve. We’re not just setting the tone but pioneering conversations that matter, creating a dynamic platform in which brainstorming meets expertise. In deep-dive conversations led by our distinguished advisory board, get ready to reimagine your data strategies by unveiling the transformative ✅’s and ❌’s pivotal for driving unparalleled success. Once you’ve exchanged best practices and benchmarked with your fellow data leaders, our distinguished advisors will share their group’s findings with the entire audience from the main stage.

The rise of AI has necessitated a critical reevaluation of governance structures, necessitating tight integration between historically separate functions like Data Governance and Model Risk Management (MRM). Join this panel to discover how leading firms established a unified process to manage AI adoption, ensuring models are not only accurate but also adhere to core safety, ethical, and security standards through coordinated governance efforts. Attendees will learn to implement the strong capabilities needed to track the genuine population of AI usage across the enterprise, proactively managing complex regulatory and risk exposure in a fast-evolving technological landscape. Before this session ends, our expert panelists will join the audience to benchmark directly with attendees.

• Adopting a unified governance strategy by tightly integrating AI management with existing Model Risk Management functions
• Designing processes to route incoming AI use cases based on risk, sending them down either an MRM or a tooling adoption path
• Developing distinct practices for governing and monitoring AI agents
• Prioritizing content and knowledge management to ensure AI deployment is context-aware and leverages the right information

The ascent of the Chief AI Officer (CAIO) is fundamentally challenging the remit and authority of the traditional CDO role, particularly as AI is positioned as the primary driver of business enablement while data governance is often relegated to risk and regulatory compliance. This executive fireside chat confronts the strategic misalignment and organizational complexities that emerge when defining who ultimately owns the indispensable data foundation necessary for reliable AI. Join our expert speaker to explore the high-stakes tightrope act facing data leaders who must balance the rapid demand for innovation against the critical need for foundational risk management and governance maturity. Gain clarity on organizational design, authority, and strategies required to ensure the CDO role remains central to driving enterprise value in the age of autonomous AI agents.

• Defining the Organizational Structure that Works
• Converge Data and Model Governance Frameworks
• Elevate the CDO’s Strategic Value
• Identifying Business Objectives vs. Hype