Forrester Research recently released their Wave report for Notebook-based Predictive Analytics and Machine Learning. Microsoft Azure is named a leader in this Wave, receiving the highest score possible in the ability to execute criteria and rated highest in the strategy category. You can download a complimentary copy of The Forrester Wave™ for Notebook-based Predictive Analytics and Machine Learning Solutions, Q3 2020 .... In this post we’ll look at why Forrester rated Microsoft Azure as a leader.
Forrester evaluated Azure Machine Learning, recognizing its ‘full suite of enterprise PAML capabilities, from centralized model registries to hyperparameter tuning and modular model training and deployment pipelines.’ Forrester gave Azure Machine Learning the highest possible score in 13 evaluation metrics, the most in the report.
“The major cloud vendors have long had a gap in offering a comprehensive PAML platform that meets the full set of enterprise data science team needs, to the detriment of bewildered customers who have had to build or find their own solutions. Microsoft has filled that gap and then some.”
- The Forrester Wave™: Notebook-based Predictive Analytics and Machine Learning, Q3 2020 |
Let’s take a closer look at the capabilities that Azure Machine Learning features:
We feel Azure Machine Learning is the best environment for any organization that is building an ML practice with a code-first approach. Be it with notebooks or IDEs, the Azure Machine Learning Studio and the accompanying SDK, makes the Azure Machine Learning capabilities omnipresent across developers and data scientists tools and offers the best way to do secure, managed and scalable data science.
“Microsoft provides coding data scientists with all the bells and whistles.”
- The Forrester Wave™: Notebook-based Predictive Analytics and Machine Learning, Q3 2020 |
Although we doubled down on a lot of the notebook-based capabilities, Azure Machine Learning offers even more to the developer data scientist and/or citizen data scientist community. Capabilities like automated ML and designer, which we’ve recently made generally available, offer an experience where users can build machine learning models without knowing the intricacies of how frameworks and algorithms work. They can let the platform do the heavy lifting for them.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. With Azure Machine Learning we’re trying to accomplish this for the data science community.
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