Azure Machine Learning

Today, AI and machine learning are enabling data-driven organizations to accelerate their journey to insights and decisions.

Today, Azure announces the general availability of the Azure ND A100 v4 Cloud GPU instances—powered by NVIDIA A100 Tensor Core GPUs—achieving leadership-class supercomputing scalability in a public cloud.

Over the past year, Microsoft has teamed with Ball Aerospace to develop the prototype for the Commercially Augmented Space Inter Networked Operations (CASINO) Program Office demonstrating agile cloud processing capabilities in support of the United States Space Force.

Tens of thousands of customers, such as Pepsi, Amway, Airbus, BBC, and Progressive Insurance are using Azure AI to deliver immersive customer experiences, identify new business opportunities, and drive impact.

Keeping up with the rapid pace of technology innovation today requires equal advances in the pace of development of new microelectronics.

For companies worldwide, SAP is at the core of their business applications—housing critical information on sales, manufacturing, and financial processes. However, due to the inherent sophistication of SAP systems, many organizations struggle to integrate SAP data into modern analytics projects.

Since its preview announcement, we’ve witnessed incredible excitement and adoption of Azure Synapse from our customers and partners.

Planning strategic data and analytics initiatives is now critical for helping your organization build the agility and resilience needed to successfully navigate the future.

Earlier this year we announced a free ‘introduction to Machine Learning’ course with Udacity, empowering 10,000 scholars from all over the world to learn the basics of machine learning.

Organizations today are striving to build agility and resilience to the fast-changing environment we live in. AI and machine learning innovation can help tackle these emerging challenges and enable cost efficiencies.

The increasing demand for always-on connectivity, immersive experiences, secure collaboration, and remote human relationships are pushing networks to their limits, while the market is driving prices down.

Organizations around the world are gearing up for a future powered by artificial intelligence (AI). From supply chain systems to genomics, and from predictive maintenance to autonomous systems, every aspect of the transformation is making use of AI.