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.
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.
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.
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.
Frost & Sullivan have recognized Microsoft as the “undisputed leader” in global AI platforms for the healthcare IT sector.
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.
Many companies are reaching for net zero emissions, but we’re taking it even further.
随着世界转变为以新的工作和保持连接的方式运行，我们仍然致力于提供 Azure AI 解决方案，帮助组织进行有意义的创新。
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.
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.