MICROSOFT Azure Machine Learning Studio in Predictive Analytics Software
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Summary
Azure ML is an easy to build and deploy Microsoft Cloud solution for predictive analytics. It is a fully-managed solution which is accessible to users worldwide. This solution by Microsoft helps in analyzing large data sets and perform sophisticated calculations. Microsoft has combined capabilities of both, Azure ML and Cortana Intelligence Suite, which has resulted in empowering the entire predictive analytics solution.
Microsoft Azure ML Studio can be used to prepare and manage the data they need for machine learning. It can improve productivity through its powerful capabilities that can integrate the current model cycle with that of the app lifecycle.
Features:
Microsoft Azure ML Studio can be used to prepare and manage the data they need for machine learning. It can improve productivity through its powerful capabilities that can integrate the current model cycle with that of the app lifecycle.
Features:
- Easy to deploy on cloud as well as on edge
- Removes unnecessary data from sheets that is not required
- Can perform mathematical operations on input data
- Cluster can scale automatically to manage loads
Discussions
Strengths
Cautions
MICROSOFT Azure Machine Learning Studio Reviews
Buyer, Education, SME
Feb 27, 2019
“Good Product with Some Bad Tooling Options”
Competent enough software, but not easy to use. I also came across some issues in AI tooling. Though Microsoft seems to be putting in enough work in the platform, I feel that it is overlooking basic deployment and infrastructure issues. I would, however, buy this product for the following features: • Better customer data analysis for relation building • Faster Decision Making • Innovation
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Buyer, Food & Beverages, SME
Feb 27, 2019
“Azure’s Big Data and Interactive Dashboards Truly Excel”
Microsoft’s AZURE provides big data and interactive dashboards along with best-in-class visualization and deep dive reports. It is also very efficient allowing us to investigate data much faster compared to our older software, which has enhanced productivity. The wide range of data options has given us the flexibility to serve our diversified customer base more efficiently. It’s cloud-based environment provides more agility with less time taken for setup and installation.
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James Smith
Feb 25, 2019
“Cloud based predictive Analytics”
Microsoft offers a cloud solution for predictive analytics which is known as Microsoft Azure ML. This solution is a combination of Azure ML and Cortana Intelligence Suite capabilities. It is a user-friendly platform as it can connect to number of database and enables users to investigate and visualize data with better understanding, speed, and productivity. It offers Big Data solutions with intuitive reports, compelling visualizations, and interactive dashboards. It enables a user to create, schedule, and orchestrate ETL/ELT (Extract, Load, and Transform) workflows through the hybrid data integration service.
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MICROSOFT Azure Machine Learning Studio Presence in
Predictive Analytics Software
Microsoft has maintained its position as a global vendor in offering a diverse set of software and licensing
solutions across numerous industrial verticals. Customer satisfaction has always been its top priority, and
it thus focuses on the development of technologies which assist users with progress, in-line with the
evolving market trends. To serve the demands of its extensive client base, the company spent a
substantial USD 11.38 billion on R&D in 2016.
Microsoft has been expansively working towards the advancements of predictive analytics tools by
following a mix of both, organic and inorganic strategies. Recently, the company underwent a couple of
partnerships and successfully acquired Revolution Analytics as a part of the development of its
predictive analytics offerings. Additionally, partnerships are playing a major role in strengthening
Microsoft’s position in the predictive analytics market space. Furthermore, these partnerships are
expanding abilities of Microsoft’s other products, such as Microsoft Cloud and related services.
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