January 6, 2021
Since the start of the pandemic, Microsoft Healthcare Bot has been at the leading edge of helping organizations be more agile with the patient engagement.
October 13, 2020
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. Today, we announce the new Machine Learning Engineer for Microsoft Azure Nanodegree Program on Udacity—students can now sign up and start taking this new Nanodegree.
October 5, 2020
Data is growing exponentially, and over 80 percent of data is unstructured, creating a challenge for organizations to find and surface the right information to their customers. What organizations need is a solution that enables them to uncover latent insights from all their content by quickly identifying relevant information and meaningful patterns.
October 5, 2020
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.
September 22, 2020
As organizations assess safely reopening and continue navigating unexpected shifts in the world, getting insights to respond in an agile and conscientious manner is vital.
September 14, 2020
Frost & Sullivan have recognized Microsoft as the “undisputed leader” in global AI platforms for the healthcare IT sector.
August 19, 2020
The trend toward the use of massive AI models to power a large number of tasks is changing how AI is built and applied to enable powerful new capabilities.
July 27, 2020
Many companies are reaching for net zero emissions, but we’re taking it even further.
July 8, 2020
As the world adjusts to new ways of working and staying connected, we remain committed to providing Azure AI solutions to help organizations invent with purpose.
June 29, 2020
As Mark mentioned when he authored the Advancing Reliability blog series, building and operating a global cloud infrastructure at the scale of Azure is a complex task with hundreds of ever-evolving service components, spanning more than 160 datacenters and across more than 60 regions.