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Belfius, a prominent Belgian bank, was well along in its digital transformation journey with AI and ML when it noticed a problem. It turned out Belfius data scientists were rewriting the same code repeatedly for different data models. Was there a better way? Read this customer story about how they solved this issue using @Microsoft Azure and improved development time, increased efficiency and became better able to spot attempts at money laundering and fraud.

Reactive MDR isn’t enough. Put prevention at the center of your security programs with Next Level MDR. Watch the video to see how. ▶️

To discuss how @eSentire MDR fits into your business, message us for a 1-on-1 chat.

Machine learning (ML) uses algorithms to identify patterns within data that can be used for making predictions. For example, forecasting the potential market success of products and services and even threats before they’re visible to humans. Read more about the potential of ML on this @Microsoft Azure website.

Your AI models are only as good as the infrastructure they run on. The right cloud setup matters for training large models and deploying real-time inference at scale.

If you’re exploring how to run high-performance AI workloads, let’s talk. 🤝 Message us to schedule a consultation and see how @Microsoft Azure can support your goals.

Every organization knows its IT infrastructure needs to be built on a secure and well-managed foundation to take advantage of the latest advancements in AI and cloud-native services. Take a moment to read this blog showing how @Microsoft has been recognized by Gartner® as a Leader in the recently published 2023 Gartner® Magic Quadrant™ for Strategic Cloud Platform Services. It’s another example of how Microsoft is working to create today’s solutions and tomorrow’s breakthroughs safely and responsibly.

Legacy technology may be reliable, but it can lack the ability to leverage data with scalability, agility and elasticity. How are you managing these needs using your present infrastructure? If you’re looking for better answers, read this customer story about how insurance giant Canopius shifted from the complications of dual data centers to the geographically scalable and cost-effective cloud environment in @Microsoft Azure.