Gain deeper insights with Microsoft Intelligent Data Platform
The Microsoft Intelligent Data Platform, empowers organizations to invest more time creating value rather than integrating and managing their data estate.
The Microsoft Intelligent Data Platform, empowers organizations to invest more time creating value rather than integrating and managing their data estate.
It’s clear that attacks on the national communications infrastructure will occur with much greater sophistication than ever before. Because of this, we continue to develop our networks and systems with security as our first principle and we stay constantly vigilant.
Today, we’re thrilled to announce two new security products driven by our acquisition of RiskIQ just over one year ago that deliver on our vision to provide deeper context into threat actors and help customers lock down their infrastructure.
Cloud adoption increased significantly during COVID-19 and continues for many companies. However, an enormous migration and modernization opportunity remains as organizations continue their digital transformation.
The growing adoption of data-driven and machine learning-based solutions is driving the need for businesses to handle growing workloads, exposing them to extra levels of complexities and vulnerabilities.
The capacity of a system to adjust to changes by adding or removing resources to meet demand is known as scalability. Here are some tests to check the scalability of your MLOps model.
Robustness is the ability of a closed-loop system to tolerate perturbations or anomalies while system parameters are varied over a wide range.
For Microsoft Azure IoT, our vision is connecting devices at the edge to the cloud seamlessly and securely to power innovation. At this year’s Embedded World 2022, we’ll share how we’re delivering enhanced device security, seamless cloud integration, and device certification.
Welcome to Azure Hybrid, Multicloud, and Edge Day—please join us for the digital event.
Testing is an important exercise in the life cycle of developing a machine learning system to assure high-quality operations.
Infrastructure and app development is becoming more complex as organizations span a combination of on-premises, cloud, and edge environments.
We know we are in the middle of a transformative time. At the heart of this transformation is the digitization of data.