Junaid Farooq

While it’s apparent the financial services industry is on the cusp of a transformative era driven by AI, not all organizations are ready to take the step—or even know the best practices to truly incorporate it into their current data strategies.

This dynamic panel discussion explores the critical steps financial institutions can take to prepare for AI integration. Our panelists are thought (and action) leaders in the realm of AI and have practical insight on your road to transforming your business with AI.

• Assessing your data readiness and identifying data fragmentation
• Identifying a toolset for success: the essential tools for data management, cleansing and analysis
• Building a flexible and adaptable approach to keep pace with technological advancements
• Navigating costs and efficiency and reporting to the board
• Anticipating the ever-changing regulatory compliance
• Building a foundation of robust data, with the right tools and the right teams

The basic tenants of being a data leader means you must establish a long-term vision for data governance, ownership, and talent development while aligning the data strategy with the organization's overall goals and objectives. It’s no easy feat. It’s even more difficult in a landscape where the economy is soft and there a lot of unknowns on the horizon – but this uncertainty can’t hold back progress in your data strategy. What are the best ways to demonstrate early wins and build the momentum required to execute real change and optimal business impact. These panelists discuss their wins (and a few of their missteps):

• Speaking the board’s language – what’s the most targeted approach
• Resonating with the boardroom priorities
• Framing the data strategy as a proactive investment for growth, innovation, and competitive advantage
• Showcasing the tangible results achieved through recent data initiatives