Azure Machine Learning

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.

Over the past few years, we’ve seen incredible transformation across industries as companies harness the power of AI to transform business processes and drive impact for their customers.

Congratulations to the TensorFlow community on the release of TensorFlow 2.0! In this blog, we aim to highlight some of the ways that Azure can streamline the building, training, and deployment of your TensorFlow model.