AI-powered Third-Party Risk Management (TPRM) enables organizations to continuously assess, monitor, and respond to risks across vendors, partners, and customers using Generative AI and automation. Instead of relying on periodic, manual reviews, it introduces a real-time, intelligence-driven approach to managing third-party risk at scale.
Retail is no longer just about selling products, it’s about making thousands of micro-decisions every second across channels, customers, and operations. Traditional systems, even those powered by analytics and automation, often fall short because they still depend heavily on human intervention to interpret insights and take action. This is where Agentic AI commerce changes the game.
Traditional quality engineering is breaking because it was built for slower, more predictable software delivery, AI-assisted development is increasing engineering productivity by 30–50% in many enterprise environments, but testing and validation processes are not scaling at the same pace. As development speeds up, many enterprises are discovering that their existing quality practices cannot scale at the same pace. The result is a growing quality gap between how fast software is built and how confidently it can be released.
Join us to explore Agentic AI, Dynamics 365 innovations, and real-world enterprise transformation use cases.
Claims Assist is built for insurers aiming to simplify and scale their claims operations. Using AI across the full lifecycle—from intake through resolution—it reduces manual effort, improves accuracy, and brings down costs. Whether you’re managing high-volume property & casualty claims or navigating complex negotiations, Claims Assist helps your teams move faster and make better decisions.
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.
We are thrilled to be part of ECS again this year! Join us from 06-07 May at booth #58 and discover how we’re shaping the future of business technology. We’re looking forward to meeting you!
