Azure Machine Learning

According to LinkedIn’s Emerging Jobs Report for 2020, AI specialist roles are most sought after with a 74 percent annual growth rate in hiring over the last four years.

Live Video Analytics (LVA) provides a platform for you to build hybrid applications with video analytics capabilities. LVA offers the capability of capturing, recording, and analyzing live video and publishing the results to Azure services in the cloud and/or the edge.

At Microsoft Build 2020, we announced several advances to Azure Machine Learning across the several areas including, ML for all skills, enterprise-grade MLOps, and responsible ML.

AI deployments are increasingly impacted by the lack of customer trust in the transparency, accountability, and fairness of these solutions.

Digital transformation in manufacturing has the potential to increase annual global economic value by $4.5 trillion according to the IDC MarketScape.

Today, Yusuf Mehdi, Corporate Vice President of Modern Life and Devices, announced the availability of two new subscriptions: Microsoft 365 Personal and Microsoft 365 Family.

PowerPoint Designer is one of the everyday AI capabilities in Office 365, enabling users to be more productive and unlock greater value from PowerPoint. It applies AI technologies and machine learning (ML) based techniques to suggest high-quality professional slide designs.

To help users be more productive and deliberate in their actions while emailing, the web version of Outlook and the Outlook for iOS and Android app have introduced suggested replies, a new feature powered by Azure Machine Learning service.

Microsoft Azure Machine Learning (ML) is addressing complex business challenges that were previously thought unsolvable and is having a transformative impact across every vertical.

As 2020 is upon us, we typically take this time to reflect back on the current year’s achievements (and challenges) and begin planning for the next year.

It’s exciting to see the PyTorch Community continue to grow and regularly release updated versions of PyTorch! Recent releases improve performance, ONNX export, TorchScript, C++ frontend, JIT, and distributed training. Several new experimental features, such as quantization, have also been introduced.

Enterprises today are adopting artificial intelligence (AI) at a rapid pace to stay ahead of their competition, deliver innovation, improve customer experiences, and grow revenue.