MICROSOFT Azure AI in Artificial Intelligence Platform

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Microsoft provides AI platform services and resources to assist developers in the development of AI-enabled models. It is also believed to be aggressively investing in services, tools, and platforms to assist in the integration of AI and data-driven intelligence into all applications. It also launched the Microsoft Research AI lab, which focuses on overcoming AI challenges. ML, NLP, decision-making, and visual perception are among the technologies used in the study.

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Microsoft introduced new tools and services to aid developers in modernizing apps, such as Azure data and cloud services. Intelligent edge and intelligent cloud are also among the company's investment priorities. The Microsoft AI platform provides developers and data scientists with a complete set of customizable AI Services, enterprise-grade AI Infrastructure, and modern AI Tools to build future-ready applications. Microsoft AI platform delivers data science tools to innovate and operationalize AI products and services at scale, as well as finished AI services for quick development.


To know the Microsoft Azure AI software better, the users can have a look at the website and go through the various features offered about it. For more information and a demo, the users can drop a request at the site and get across the demo soon.


Machine Learning Studio (classic) Standard is priced at $9.99 per ML studio workspace per month.

Machine Learning Studio (classic) Standard S1 is priced at $100.13 per month          

Machine Learning Studio (classic) Standard S2 is priced at $1,000.06 per month

Machine Learning Studio (classic) Standard S3 is priced at $9,999.98 per month


It uses easy-to-use customizable web services to customize its own models for specific use cases.

It swiftly creates intelligent apps with a wide range of APIs that are tailored to the enterprise's security, compliance, availability, and service level agreements (SLAs).

It can effortlessly create immersive apps with intelligent capabilities like emotion and sentiment detection, visual and speech recognition, language understanding, knowledge, and search, and it works on iOS, Android, and Windows devices.

It makes use of a variety of deep learning frameworks, such as Cognitive Toolkit, Caffe2, TensorFlow, Chainer, MxNet, Torch, Scikit-learn, and others.

It goes over the many IDEs and data science tools available, including Azure ML Studio, Visual Studio, Azure ML Workbench, Jupyter Notebooks, PyCharm, and Juno.

It can deploy solutions on infrastructure that can essentially extend indefinitely, all while maintaining enterprise-grade security, compliance, availability, and management, as well as dev-ops capabilities like AI Continuous Integration/Continuous Delivery (CI/CD) support.

It has the ability to build new immersive and integrated experiences and reach a large number of users. It's simple to create and deploy on platforms like Facebook Messenger, Cortana, Slack, Skype, and Bing.
  • +6
    Solutions Offered
  • +14
    No. of Innovations
  • +6
    R&D Spend
  • +10
    Brand Recognition
  • +8
    Customer testimonials
  • +8
  • +14
    Managed Services
  • +9
  • +5
    Professional Services
  • +7
    New Product Launches
  • +6
    Product Upgradation
  • +13
    Full Time Equivalent
  • +8
    Large Enterprises (Revenue> 500 Million)
  • +11
    Machine Learning
  • +7
    Medium sized enterprises
  • +10
    Natural Language Processing
  • +5
    Per User Basis
  • +6
    Small Enterprise (Revenue< 100 Million)
  • +14
    Subscription / Licensing
  • +14
    Artificial creativity
Microsoft Presence in Artificial Intelligence Platform
Microsoft offers AI platform services and tools to help developers in creating AI-enabled models. Moreover, it is said to be heavily investing in services, tools, and platforms to help bring AI and data-driven intelligence into every application. Apart from that, the company launched new tools and services, such as Azure data and cloud services, to help developers in modernizing applications. Additionally, the company’s focus areas for investment include intelligent edge and intelligent cloud. It also opened the Microsoft Research AI lab, which focuses on solving hurdles in the AI space. The technologies involved in the research are ML, NLP, decision-making, and visual perception. Microsoft launched another important project, Brainwave, in August 2017. Brainwave is a deep learning acceleration platform, with which the company aims to offer AI with industry-leading capabilities. Additionally, its investment related to the AI platform technologies is a significant strategy that Microsoft has been following. For instance, the company invested in startup companies, such as Agolo, Bonsai AI, Element AI, and Livongo Health, to deploy AI technologies for the benefit of businesses and the society.
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