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Machine Learning

MLOps Blog Series Part 2: Testing robustness of secure machine learning systems using machine learning ops

22 июня 2022 г.

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.

Product Marketing Manager, Data and AI Marketing

Discover how you can innovate anywhere with Azure Arc

15 июня 2022 г.

Welcome to Azure Hybrid, Multicloud, and Edge Day—please join us for the digital event. Today, we’re sharing how Azure Arc extends Azure platform capabilities to datacenters, edge, and multicloud environments through an impactful, 90-minute lineup of keynotes, breakouts, and technical sessions available live and on demand.

Corporate Vice President, Azure Marketing

MLOps Blog Series Part 1: The art of testing machine learning systems using MLOps

14 июня 2022 г.

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.

Product Marketing Manager, Data and AI Marketing

Azure NC A100 v4 VMs for AI now generally available

1 июня 2022 г.

AI is revolutionizing the world we live in—from the way we entertain ourselves, to the products and services that we consume, to the way we care for our bodies, and how we go about our daily work. At Microsoft, our NC series virtual machines (VMs) allow our customers and partners access to almost limitless AI hardware infrastructure with Microsoft tools and services so that they can be productive quickly and more easily.

Senior Program Manager, Azure HPC and AI

Meta selects Azure as strategic cloud provider to advance AI innovation and deepen PyTorch collaboration

25 мая 2022 г.

Microsoft is committed to the responsible advancement of AI to enable every person and organization to achieve more. Over the last few months, we have talked about advancements in our Azure infrastructure, Cognitive Services, and Azure Machine Learning to make Azure better at supporting the AI needs of all our customers, regardless of their scale.

Corporate Vice President, AI Platform

Introducing the Microsoft Intelligent Data Platform

24 мая 2022 г.

It’s clear that the fragmentation which exists today between databases, analytics, and governance products must be addressed. To help organizations unlock these new capabilities, we shared several exciting announcements today at Microsoft Build that demonstrate our continued innovation and investment in the data products our customers have come to know and trust.

Corporate Vice President, Azure Data

Feathr: LinkedIn’s feature store is now available on Azure

12 апреля 2022 г.

With the advance of AI and machine learning, companies start to use complex machine learning pipelines in various applications, such as recommendation systems, fraud detection, and more. These complex systems usually require hundreds to thousands of features to support time-sensitive business applications, and the feature pipelines are maintained by different team members across various business groups.

Principal Data Scientist, Azure Data

Improving the cloud for telcos: Updates of Microsoft’s acquisition of AT&T’s Network Cloud

4 января 2022 г.

In June 2021, Microsoft and AT&T reached a major milestone when we announced an industry-first collaboration to adopt Microsoft cloud technology for AT&T’s 5G core network workloads. Since then, we have had requests from many operators, partners, and customers to share more details. This blog is intended to do just that.

VP of 5G Strategy, Azure for Operators

Geospatial imagery unlocks new cloud computing scenarios on Azure

9 декабря 2021 г.

In the year since Azure Space was announced, Microsoft has focused on extending its Azure Space ecosystem by partnering with industry leaders in the space community to empower customers and partners to achieve more. Today, Microsoft is expanding on its mission to make Azure Space the platform and ecosystem of choice for the space community through a new partnership with Airbus and the general availability of their premium satellite imagery and elevation data in Microsoft’s Azure Maps.

Corporate Vice President, Mission Engineering, Microsoft Azure