Can AI Make the Right Decision with Yesterday’s Data?

As organisations accelerate their use of analytics and AI, a critical challenge is emerging: what happens when the data informing decisions is already out of date?

Highly regulated organisations generate enormous volumes of data across services, applications, transactions and operational systems. Yet traditional batch-based approaches can mean that by the time data reaches analytics platforms or AI applications, the situation on the ground may already have changed. This creates a growing gap between what the data says happened and what is happening now.

This webinar will explore how organisations can close that gap by creating real-time data foundations that continuously connect data across the enterprise, making current information available for analytics, AI and decision-making as events occur.

The discussion will examine how data streaming, event-driven architectures, real-time data analytics and open lakehouse approaches can help organisations move beyond retrospective reporting to generate insights from data in motion. It will also explore the growing importance of real-time data for AI, enabling AI applications and agents to work with fresh, contextual enterprise data rather than relying solely on historical or periodically refreshed information.

For organisations, this shift has the potential to change how data supports outcomes, enabling them to identify emerging trends sooner, respond to changing circumstances faster, improve service delivery and make more informed decisions based on what is happening now, not yesterday.

Join senior leaders from government and industry as they discuss practical approaches to turning real-time data into real-time insights, powering analytics and AI, and building the data foundation required for faster, more responsive decision-making.