9 de janeiro de 2019
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 de dezembro de 2018
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 de dezembro de 2018
Learn how to connect Power BI and Azure Data Services to share data and unlock new insights with a new tutorial.
4 de dezembro de 2018
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 de novembro de 2018
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 de outubro de 2018
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 de setembro de 2018
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 de setembro de 2018
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 de agosto de 2018
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.
2 de agosto de 2018
Currently, the healthcare industry suffers major inefficiencies due to diverse uncoordinated and unconnected data sources/systems. Collaboration is vital to improve healthcare outcomes. With digitized health data, the exchange of healthcare information across healthcare organizations is essential to support effective care collaboration. Traditional health information exchanges have had limited success.