New automated machine learning capabilities in Azure Machine Learning service
As part Azure Machine Learning service general availability, we are excited to announce the new automated machine learning (automated ML) capabilities.
Azure Machine Learning
Azure AI – accelerating the pace of AI adoption for organizations
Building on our announcements at Microsoft Ignite in September 2018, I’m excited to share several new announcements we are making to enable organizations to easily apply AI to transform their businesses.
Improving Azure Virtual Machine resiliency with predictive ML and live migration
We’re committed to ensuring that you can run your workloads reliably on Azure. One of the areas we’re investing heavily into optimizing reliability is using the combination of machine learning and live migration to predict and proactively mitigate potential failures.
ONNX Runtime for inferencing machine learning models now in preview
We are excited to release the preview of Open Neural Network Exchange (ONNX) Runtime, a high-performance inference engine for machine learning models in the ONNX format.
World-class PyTorch support on Azure
In the past two years since PyTorch’s first release in October 2016, we’ve witnessed the rapid and organic adoption of the deep learning framework among academia, industry, and the AI community at large.
Eight use cases for machine learning in insurance
Insurance companies that sell life, health, and property and casualty insurance are using machine learning (ML) to drive improvements in customer service, fraud detection, and operational efficiency.
Azure AI – Making AI real for business
AI, data and cloud are bringing in the next wave of transformative innovations across industries. With Azure AI, our purpose is to empower organizations to use AI to engage customers, empower employees, optimize operations and transform products.
Announcing automated ML capability in Azure Machine Learning
Intelligent experiences powered by machine learning can seem like magic to users. Developing them, however, can be anything but.
What’s new in Azure Machine Learning service
Today we are very happy to release the new capabilities for the Azure Machine Learning service. Since our initial public preview launch in September 2017, we have received an incredible amount of valuable and constructive feedback.
Getting AI/ML and DevOps working better together
Artificial Intelligence (AI) and machine learning (ML) technologies extend the capabilities of software applications that are now found throughout our daily life: digital assistants, facial recognition, photo captioning, banking services, and product recommendations.
Current use cases for machine learning in retail and consumer goods
This blog was co-authored by Marty Donovan.
Two seconds to take a bite out of mobile bank fraud with Artificial Intelligence
The future of mobile banking is clear. People love their mobile devices and banks are making big investments to enhance their apps with digital features and capabilities.