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Wednesday 21 August 2019
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Top 5 Reasons for Using Azure in Building Intelligent Apps

Top 5 Reasons for Using Azure in Building Intelligent Apps

The growth and availability of cloud platforms means that businesses are looking to the cloud to develop and deploy applications with a speed and agility that cloud has become known for.  There are a number of benefits that organizations can realize through the Microsoft Azure Platform-as-a-Service (PaaS).  The benefits that are often realized include the ability to streamline and automate processes across key functions and lines of business, enabling businesses to meet their objectives, keep costs in check, and increase revenue. Moreover, the ease of development and management means that more applications can be created and updated, providing greater value to the organizations and their customers.

These benefits are the top reasons businesses look to Azure and cloud platforms, especially when you can quantify their impact.  Last year, Forrester released a Total Economic Impact study of Azure PaaS based on a five-year analysis. This research revealed that companies leveraging Azure PaaS could expect:

  • Reduced time required of IT to manage apps deployed on the platform by 80%
  • To reduce the amount of time it takes develop, test, or update apps by 25 hours per app
  • A 50% reduction in the time it takes to deliver an application to market.

 

  1. Closely integrated with other Microsoft tools:  For organizations that are reliant on Microsoft tools like SharePoint (which was recently ranked the No.1 platform for enterprise collaboration), Office 365 and Outlook, investing in a cloud platform that seamlessly integrates with Microsoft products makes sense.

 

  1. IaaS and PaaS: As mentioned, Azure boasts an enticing combination of IaaS (managed) and PaaS (unmanaged) services. IaaS enables companies to outsource their cloud computing infrastructure and pay for only for what they use. PaaS allows companies to create their own Web apps and/or software without having to buy and maintain the underlying infrastructure. This enables organizations to customize their cloud software to enhance their competitiveness.

 

  1. Strong BI and analytics support: Azure provides managed SQL and NoSQL data services and built-in support for digging deeper into data and uncovering key insights for improving business processes and decision making. Specifically, organizations can leverage their SQL Server in the cloud and can use HDInsight, Microsoft Azure’s Apache Hadoop-based cloud service, to build Hadoop clusters to more deeply analyze data.

 

  1. Easily migrate your Microsoft apps and data to Azure: Make your cloud transition smooth and seamless with easy-to-use Azure migration tools and services, including a free cloud migration assessment. Take advantage of new integrated discovery and TCO analysis with Azure Migrate. Lift and shift your existing SQL Servers to Azure without noticing any difference, choose SQL Database-managed instances to offload management, and use Azure Site Recovery to easily migrate existing on-premises apps to Azure Virtual Machines.

 

  1. Enjoy more choices in the cloud: With Azure, you have choices. Choices that help you maximize your existing investments. Get support for infrastructure as a service (IaaS) on Linux, Java, and PHP Web application platforms. Develop and test your Linux and open source components in Azure. You bring the tools you love and skills you already have, and run virtually any application, using your data source, with your operating system, on your device.

 

Azure is the cloud for building intelligent apps

Use Azure to create data-driven, intelligent apps. From image recognition to bot services, take advantage of Azure data services and artificial intelligence to create new experiences—that scale—and support deep learning, HPC simulations, and real-time analytics on any shape and size of data.

  • Develop breakthrough apps with built-in AI.
  • Build and deploy custom AI models at scale, on any data.
  • Combine the best of Microsoft and open source data and AI innovations.



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