Integrated Evidence Planning (IEP) breaks down when evidence exists across too many systems, teams, and decision contexts to be used in a timely, aligned, and decision-ready way. AI changes that by helping life sciences organizations move from fragmented evidence gathering to continuous evidence orchestration across the asset lifecycle. 

That is the simplest way to understand why Integrated Evidence Planning, or IEP, is changing so quickly. 

Modern enterprises generate massive volumes of data across applications, customer interactions, supply chains, IoT devices, and cloud platforms. Yet, many organizations still struggle to turn that data into real business value because their systems are fragmented, slow, and difficult to scale. 

This is where Azure Databricks comes in. 

The actuarial function has always played a critical role in the insurance industry. From pricing policies and forecasting liabilities to ensuring regulatory compliance and maintaining financial stability, actuarial teams sit at the center of risk and decision-making. Their outputs influence everything from underwriting strategies to capital allocation and long-term business planning. 

However, while the importance of actuarial work has grown, the way it is performed has not evolved at the same pace.