USP : Microsoft Azure infuses apps, websites, and bots with intelligent algorithms to see, hear, speak, understand, and interpret user needs through natural methods of communication to transform businesses
Use Case Maturity
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North America , Middle East and Africa , Latin America , Europe , Asia-Pacific
MICROSOFT Azure Presence in Cognitive Analytics Solutions
Microsoft remains among the leading players in the cognitive analytics market with its AI and cognitive offerings. It continues to expand its product portfolio through organic as well as inorganic growth strategies. R&D is at the core of the companyâ€™s organic growth imperatives, including frequent product updates. The company leverages extensively from its existing partner channels and customer base. It uses machine learning to generate new revenues from the existing customers of its public cloud computing platform, Microsoft Azure. It launched Azure Machine Learning in June 2014 and in January 2015, the company acquired Revolution Analytics, a provider of open source and open-core versions of the R for big data analysis, predictive modeling, and data science, which is at the core of Microsoftâ€™s machine learning offerings.
Sep 23, 2019
Microsoft Azure has gained a lot of traction in the cloud storage sector recently as its service range is continuously expanding. Azure Machine Learning Studio was recently launched, which allows developers to write, test, and deploy machine learning algorithms. The platform offers a long list of predefined algorithms and a marketplace for off-the-shelf APIs to help set up data projects.
Other, Company Name Classified
“Azure ML: A must have user-friendly product"
Feb 14, 2019
The interface is amazing! Searching and dragging in different components into the dashboard is a fun activity. Simple configuration, with a lot of features being preconfigured, are add-ons. Visualizing the results is neat and able to publish the service as a web API with minimal effort also makes it way too awesome. It is a must-have product. It provides multiple services. No requirement of hardware of your own and upgrade it instead one can choose the degree of involvement depending on the requirements from IaaS, Paas, and SaaS. It is cost-effective and time-saving.