Kevin Quinn

BI has a bad rap as last century’s analytics and static reporting, while AI is the cool kid on the block. Yet most AI projects focus on tech over business impact. With real-time analytics and actionable insights, BI is now focused on driving measurable value across operations, strategy and customer engagement.

External data has long been a secret weapon for investment firms. But today, its scale, diversity and impact have exploded. With AI at the forefront of decision making, tapping into new data sources is no longer optional— it's transformative. This session dives into the evolving external data landscape (from weather, news and social media to satellite imagery and people movement), discusses how it sharpens AI accuracy, and shares practical ways to integrate it into data pipelines to drive better business outcomes.

There is some confusion about the relation between business intelligence and decision intelligence. At one level decision intelligence picks up where business intelligence leaves off; however, the relationship can be more complex than this. If managed correctly the relationship can be symbiotic and result in more accurate AI-assisted augmented and automated decisions and less useless propagation of unused dashboards. This session will explore this relationship and give tips on how it can be nurtured to drive better business outcomes.

BI has a bad rap as last century’s analytics and static reporting, while AI is the cool kid on the block. Yet most AI projects focus on tech over business impact. With real-time analytics and actionable insights, BI is now focused on driving measurable value across operations, strategy and customer engagement.