By connecting customers with our 90,000+ partner ecosystem, we want to enable organizations in every industry to leverage the Microsoft Cloud as the best foundational investment for bringing their biggest opportunities to life.
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Welcome to Microsoft Build 2023—the event where we celebrate the developer community. This year, we’ll dive deep into the latest technologies across application development and AI that are enabling the next wave of innovation.
During the last two years navigating changing economic climates and a global pandemic that shifted the way we work, we’ve learned that teams can continue to collaborate together productively and effectively in remote and hybrid settings. A recent Microsoft study shows that hybrid work works.
We’re excited to share that Microsoft has been recognized as a Leader in the IDC MarketScape Worldwide Machine Learning Operations (MLOps) Platforms 2022 Vendor Assessment.
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. Here are some key approaches and tests for securing your machine learning systems against attacks with Azure Machine Learning using MLOps.
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. There are three essential tests to ensure that the machine learning system is robust in the production environments: unit tests, data and model testing, and integration testing.
Testing is an important exercise in the life cycle of developing a machine learning system to assure high-quality operations. In this blog, we will look at testing machine learning systems from a Machine Learning Operations (MLOps) perspective and learn about good case practices and a testing framework that you can use to build robust, scalable, and secure machine learning systems.
When we launched Azure Spring Cloud with VMware in 2019, we set out to solve common challenges developers, IT operators, and DevOps teams face when running Spring Boot applications at scale. We are thankful to the many customers and partners who participated in the private preview and shared their learnings, and we are excited to announce that Azure Spring Cloud Enterprise is now available in public preview.
Enterprises are increasingly defined by the applications they use and build to run their core business processes, including the customer experiences they provide. Across all sectors, we see how companies like challenger banks, online healthcare providers, e-commerce providers, and other startups are winning customers by providing new applications.