New intelligent cloud of Microsoft customer services and intelligent edge advancements ushering in the next era of computing
Since the inception of Azure, we have been focused on Microsoft Support Phone Number delivering a true hybrid cloud where applications spanning public cloud and on-premises datacenters are built and run consistently. As organizations are now building applications that span the intelligent cloud and intelligent edge, the same approach is needed. Fundamentally, Http //Support.Microsoft.Com/Help the principles and technology needed Microsoft Phone Number for developing hybrid cloud applications Support.Microsoft.Com/Help are the same as intelligent cloud and Microsoft Support Phone Number intelligent edge applications. Azure’s longstanding leadership in hybrid cloud provides developers with unique Microsoft Customer Service know-how toward building modern applications that span the edge and the cloud.
Next week at Microsoft Build Microsoft Customer Service, more than 6,000 developers will join us in Seattle to experience the latest advancements in dev tools Microsoft Support Phone Number and cloud services. Http //Support.Microsoft.Com/Help Today, to help usher in Build, I’m excited to share some of the new Azure innovations that we will be showcasing at Build Microsoft Phone Number that enable Support.Microsoft.Com/Help developers to build this new generation of hybrid applications with greater productivity and success.
To begin, we’re announcing several new AI services and capabilities that makes it easier for developers to build AI-powered applications. Furthering our commitment to building the most productive AI platform, we’re delivering key new innovations in Azure Machine Learning that simplify the process of building, training and deployment of machine learning models at scale. These include Http //Support.Microsoft.Com/Help and an intuitive UI that make developing high-quality models easier, a new visual machine learning interface that provides a zero-code model creation and deployment experience Microsoft Support Phone Number using drag-and-drop capabilities and new machine learning notebooks Microsoft Customer Service for a rich, code-first development experience. Furthermore, new MLOps (DevOps for machine learning) capabilities with Azure DevOps integration provides developers with reproducibility, auditability and automation of the end-to-end machine learning lifecycle. To enable extremely low latency and cost-effective inferencing, we are also announcing the general availability of Support.Microsoft.Com/Help that run on FPGAs, as well as Microsoft Phone Number for high- speed inferencing on NVIDIA and Intel chipsets.
Azure Cognitive Services give connected devices, bots and apps the ability to see, hear, respond, translate, reason and more. Azure is the only public cloud that enables these Cognitive Services to be containerized to run on-premises, in the cloud and at the edge. Today we’re giving developers even more ways to create “smart” devices and services with a Http //Support.Microsoft.Com/Help that delivers users specific recommendations to enable informed and efficient decision-making. Azure Cognitive Services such as Content Moderator, the recently announced Anomaly Detector and a new preview service called Personalizer, which uses reinforcement Microsoft Support Phone Number learning to provide each user with a relevant experience to drive engagement, will be part of this new category. We’re also delivering several Microsoft Customer Service new services in public preview, including Ink Recognizer for embedding digital ink recognition capabilities; Microsoft Phone Number or automating data entry by extracting text, key-value pairs and tables from documents; and Support.Microsoft.Com/Help Service, which transcribes meeting conversations in real time so participants can fully engage in the discussion, know who said what when and quickly follow up on next steps.
We are also bringing AI to Http //Support.Microsoft.Com/Help with the general availability of the Support.Microsoft.Com/Help capability, enabling customers to apply Cognitive Services algorithms Microsoft Customer Service to extract new insights their structured and unstructured content. In Microsoft Support Phone Number addition, we are previewing a new capability that enables developers to store AI insights gained from cognitive search, making it easier to create knowledge-rich experiences leveraging Power BI visualizations or machine learning models. You can read more about today’s Azure AI announcements Microsoft Phone Number
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