Archives: Agenda

• Identifying and prioritizing high-value AI use cases
• Measuring ROI across efficiency, risk reduction, and revenue growth
• Overcoming challenges in scaling AI investments for long-term impact

• Comparing capabilities and trade-offs between Large and Small Language Models
• Use cases in financial services: scale vs efficiency
• Future outlook: hybrid approaches and evolving model architectures

No one wants to discuss the elephant in the room; however, the role of humans has changed drastically forever. What does the future of the workforce look like, and are there dangers to the future generation of leaders?

• Why data readiness, not model selection, is the true determinant of AI success
• Building the data foundations: quality, lineage, governance and access at enterprise scale
• Unlocking unstructured data: turning documents, communications and market content into AI-ready assets
• Practical steps for aligning data strategy with your AI roadmap