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Tag: Artificial Intelligence

Responsible AI investments and safeguards for facial recognition

Azure Cognitive Services deliver high-quality, consent-driven face recognition that developers use to power verification of human identities on mobile, desktop, and internet of thing (IoT) devices, as well as facial detection and redaction capabilities for accessibility, modern productivity, and privacy. Source…

Achieve seamless observability with Dynatrace for Azure

Microsoft Azure enables customers to host their apps on the globally trusted cloud platform and use the services of their choice by closely partnering with popular SaaS offerings. Dynatrace is one such partner that provides deep cloud observability, advanced AIOps, and continuous runtime application security capabilities on Azure. Source…

Introducing the Microsoft Intelligent Data Platform

It’s clear that the fragmentation which exists today between databases, analytics, and governance products must be addressed. To help organizations unlock these new capabilities, we shared several exciting announcements today at Microsoft Build that demonstrate our continued innovation and investment in the data products our customers have come to know and trust. Source…

Microsoft session highlights from SAP Sapphire 2022

Microsoft and SAP are celebrating the one-year anniversary of RISE with SAP on the Microsoft Cloud, which helps organizations of all sizes accelerate their move of SAP solutions to the cloud. As you prepare your agenda for the event, be sure to take in some of the following sessions featuring Microsoft so you can better understand how Microsoft Cloud can help accelerate your SAP transition. Source…

Feathr: LinkedIn’s feature store is now available on Azure

With the advance of AI and machine learning, companies start to use complex machine learning pipelines in various applications, such as recommendation systems, fraud detection, and more. These complex systems usually require hundreds to thousands of features to support time-sensitive business applications, and the feature pipelines are maintained by different team members across various business groups. Source…

Empowering space development off the planet with Azure

Any developer can be a space developer with Azure. Microsoft has a long history of empowering the software development community. We have the world’s most comprehensive developer tools and platforms from Github to Visual Studio, and we support a wide range of industries and use cases from healthcare, financial services, critical industries, and now space. Source…

Cloud migration for medical imaging data using Azure Health Data Services and IMS

This blog is part of a series in collaboration with our partners and customers leveraging the newly announced Azure Health Data Services. Azure Health Data Services, a platform as a service (PaaS) offering designed exclusively to support Protected Health Information (PHI) in the cloud, is a new way of working with unified data—providing care teams with a platform to support both transactional and analytical workloads from the same data store and enabling cloud computing to transform how we develop and deliver AI across the healthcare ecosystem. Source…

Azure confidential computing with NVIDIA GPUs for trustworthy AI

Confidential computing technology encrypts data in memory and only processes it once the cloud environment is verified, helping protect data from cloud operators, malicious admins, and privileged software. Today, we are excited to announce the next chapter in a strategic partnership between NVIDIA and Microsoft that brings confidential computing to state-of-the-art NVIDIA GPUs. Source…

Microsoft launches Azure Health Data Services to unify health data and power AI in the cloud

Today, we take a giant step toward making the dream of interoperability in healthcare real. Microsoft is announcing the general availability of Azure Health Data Services, a platform as a service (PaaS) offering designed exclusively to support Protected Health Information (PHI) in the cloud. Azure Health Data Services is a new way of working with unified data—providing your team with a platform to support both transactional and analytical workloads from the same data store and enabling cloud computing to transform how we develop and deliver AI across the healthcare ecosystem. Source…