14 января 2019 г.
The year 2018 was a banner year for Azure AI, as over a million Azure developers, customers, and partners engaged in the conversation on digital transformation. The next generation of AI capabilities are now infused across Microsoft products and services including AI capabilities for Power BI.
9 января 2019 г.
Since our preview announcement, hundreds of customers have been moving recurring workloads, media captures from automobiles, incremental transfers for ongoing backups, and archives from remote/office branch offices (ROBOs) to Microsoft Azure.
20 декабря 2018 г.
Do you want to analyze vast amounts of data, create Power BI dashboards and reports to help you visualize your data, and share insights across your organization?
10 декабря 2018 г.
Learn how to connect Power BI and Azure Data Services to share data and unlock new insights with a new tutorial.
4 декабря 2018 г.
Today, we are announcing the general availability of Azure Machine Learning service. Azure Machine Learning service contains many advanced capabilities designed to simplify and accelerate the process of building, training, and deploying machine learning models.
29 ноября 2018 г.
Azure Data Explorer is a lightning fast service optimized for data exploration. It enables users to get instant visibility into very large raw datasets in near real-time to analyze performance, identify trends and anomalies, and diagnose problems.
16 октября 2018 г.
We are excited to release the preview of Open Neural Network Exchange (ONNX) Runtime, a high-performance inference engine for machine learning models in the ONNX format.
11 сентября 2018 г.
Choosing the right type of hardware for deep learning tasks is a widely discussed topic. An obvious conclusion is that the decision should be dependent on the task at hand and based on factors such as throughput requirements and cost.
4 сентября 2018 г.
Because of existing and upcoming regulations, insurers perform quite a bit of analysis over their assets and liabilities. Actuaries need time to review and correct results before reviewing the reports with regulators.
2 августа 2018 г.
When you buy an item on a favored website, does the site show you pictures of what others have bought? That’s the result of a recommendation system. Retailers have been building such systems for years, many built using the programming language R.