Category Azure News

Extended filesystem programming capabilities in Azure Data Lake Storage

Since the general availability of Azure Data Lake Storage Gen2 in February 2019, customers have been getting insights at cloud scale faster than ever before. Integration to analytics engines is critical for their analytics workloads and equally important is the ability to programmatically ingest, manage, and analyze data. This ability is critical for key areas of enterprise data lakes such as data ingestion, event-driven big data platforms, machine learning, and advanced analytics. Programmatic access is possible today using Azure Data Lake Storage Gen2 REST APIs or Blob REST APIs. In addition, customers can enable continuous integration and continuous delivery (CI/CD) pipelines using Blob PowerShell and CLI capabilities via multi-protocol access...

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Achieve operational excellence in the cloud with Azure Advisor

Many customers have questions when it comes to managing cloud operations. How can I implement real-time cloud governance at scale? What’s the best way to monitor my cloud workloads? How can I get help when I need it?

Azure offers a great deal of guidance when it comes to optimizing your cloud operations. At the organizational level, the Microsoft Cloud Adoption Framework for Azure can help you design and implement your approach to management and governance in the cloud. At the cloud resource level, Azure Advisor provides personalized recommendations to help you optimize your Azure workloads for a variety of objectives—including cost savings, security, performance, and availability—based on your usage and configurations.

Recently, Advisor introduced a new recommendation category—operational...

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Enabling collaborative bot development across your organization for any user

This post was co-authored by Omar Aftab, Partner Director of Program Management, Power Virtual Agents.

Conversational artificial intelligence (AI) is enabling organizations to improve their business in areas like customer service and employee engagement by automating some of the most commonly requested services, which frees up employees to take on more value-adding activities. While the benefits of conversational AI are well established, determining who in an organization should build these solutions is not always clear.

As is true of many applications, conversational AI solutions (or bots) can be built using software-as-a-service (SaaS) or platform-as-a-service (PaaS) offerings...

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Enabling collaborative bot development across your organization for any user

This post was co-authored by Omar Aftab, Partner Director of Program Management, Power Virtual Agents.

Conversational artificial intelligence (AI) is enabling organizations to improve their business in areas like customer service and employee engagement by automating some of the most commonly requested services, which frees up employees to take on more value-adding activities. While the benefits of conversational AI are well established, determining who in an organization should build these solutions is not always clear.

As is true of many applications, conversational AI solutions (or bots) can be built using software-as-a-service (SaaS) or platform-as-a-service (PaaS) offerings...

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Update 19.11 for Azure Sphere public preview now available for evaluation

The Azure Sphere public preview 19.11 quality release is now available via the retail evaluation feed. The retail evaluation is meant for backwards compatibility testing. Use the retail evaluation feed to verify production-signed applications against the new release before we deploy it broadly on the retail feed.
Source: Azure Roadmap
Source Link: Update 19.11 for Azure Sphere public preview now available for evaluation

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