2019年5月9日
At Microsoft Build 2019 we announced MLOps capabilities in Azure Machine Learning service. MLOps, also known as DevOps for machine learning, is the practice of collaboration and communication between data scientists and DevOps professionals to help manage the production of the machine learning (ML) lifecycle.
2019年5月7日
Azure Functions constantly innovates so that you can achieve more with serverless applications, enabling developers to overcome common serverless challenges through a productive, event-driven programming model.
2019年5月6日
Microsoft では、GitHub と Azure DevOps を使用して、大規模エンタープライズ ソリューションからオープンソース プロジェクトに至る、あらゆるアプリを開発者が計画、構築、提供するのをサポートしています。
2019年5月3日
With the exponential rise of data, we are undergoing a technology transformation, as organizations realize the need for insights driven decisions. Artificial intelligence (AI) and machine learning (ML) technologies can help harness this data to drive real business outcomes across industries. Azure AI and Azure Machine Learning service are leading customers to the world of ubiquitous insights and enabling intelligent applications such as product recommendations in retail, load forecasting in energy production, image processing in healthcare to predictive maintenance in manufacturing and many more.
2019年4月28日
Docker recently announced Docker Hub had a brief security exposure that enabled unauthorized access to a Docker Hub database, exposing 190k Hub accounts and their associated GitHub tokens for automated builds. While initial information led people to believe the hashes of the accounts could lead to image:tags being updated with vulnerabilities, including official and microsoft/ org images, this was not the case. Microsoft has confirmed that the official Microsoft images hosted in Docker Hub have not been compromised.
2019年4月15日
Grafana is one of the popular and leading open source tools for visualizing time series metrics.
2019年4月9日
DevOps is the union of people, processes, and products to enable the continuous delivery of value to end users. DevOps for machine learning is about bringing the lifecycle management of DevOps to Machine Learning.
2019年3月20日
As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an integrated development environment (IDE), like Visual Studio Code (VSCode).
2019年3月13日
Azure Databricks は、高速かつ簡単でコラボレーションに対応した Apache® Spark™ ベースの分析プラットフォームを提供することで、ビジネスを推進するビッグ データと AI のソリューションを構築するプロセスを高速で簡単なものにします。すべてが業界最高の SLA によって裏付けられています。
2019年3月11日
So you followed that excellent walkthrough on the web and built a great prototype web app. You run npm start locally and browse to http://localhost and it all looks great.
