We’re excited to share that Microsoft has been acknowledged as a Leader within the IDC MarketScape Worldwide Machine Learning Operations (MLOps) Platforms 2022 Vendor Assessment. Microsoft holds a deep understanding of MLOps market traits, robust buyer adoption, broad companion ecosystem, and continued product investments in constructing a differentiated MLOps platform.
The report cited a number of key strengths together with product and enterprise capabilities throughout all the machine studying (ML) lifecycle in addition to an expansive buyer footprint and companion community.
“Microsoft supplies a big selection of enterprise-grade MLOps instruments for high quality and compliance that may increase any ML improvement atmosphere on-premises, throughout clouds, or in a hybrid cloud atmosphere.” —IDC MarketScape: Worldwide Machine Learning Operations Platforms 2022 Vendor Assessment
Source: “IDC MarketScape: Worldwide Machine Learning Operations Platforms 2022 Vendor Assessment”, By: Kathy Lange, Raghunandhan Kuppuswamy, and David Schubmehl, December 2022, IDC #US48325822.
Do extra with much less with MLOps on Azure
While machine studying turns into extra mainstream throughout industries, there are various challenges like information governance, safety, information compliance, and auditability that firms want to think about when productionizing machine studying fashions. These organizations look to a unified machine studying platform to handle all the ML lifecycle to deliver fashions to manufacturing quicker and at scale, bettering operational efficiencies of knowledge science groups with MLOps. At Microsoft, we think about MLOps as a philosophy somewhat than a product and, as such, our method incorporates individuals, processes, and platform to ship steady worth with fewer assets for machine studying. MLOps deliver advantages to organizations by automating repeatable actions, facilitating collaboration throughout groups, and making certain full visibility and reproducibility into the end-to-end ML lifecycle.
Azure Machine Learning helps information scientists and ML engineers streamline coaching, deployment, and administration of hundreds of fashions throughout on-premises, multicloud, and even on the edge utilizing native MLOps capabilities reminiscent of mannequin registry, CI/CD pipelines with deep integration with Azure DevOps and GitHub, managed on-line endpoints for real-time inference, and experiment monitoring and lineage with MLflow. PepsiCo has been utilizing MLOps capabilities in Azure Machine Learning to automate mannequin creation and deployment and analyze retailer buyer information to answer buyer demand extra effectively. In truth, they’ve succeeded in eliminating 4,300 days of handbook work a 12 months.
Enhance collaboration throughout the group
We imagine machine studying is a workforce sport that requires collaboration throughout individuals with a special vary of ability units, reminiscent of information scientists, machine studying engineers, and IT admins. One of the important thing options talked about within the report is that Azure Machine Learning permits better collaboration throughout a number of information science groups by means of registries. Registries in Azure Machine Learning are organization-wide repositories of machine studying belongings: fashions, environments, and elements. Registries make multi-environment MLOps simpler by serving to groups share and reuse fashions developed in a special workspace, by a special workforce with out manually copying them over.
Another function that fosters collaboration between information scientists and enterprise professionals is the Responsible AI dashboard and scorecard, a single interface to assist organizations implement Responsible AI in follow successfully and effectively. The Responsible AI scorecard helps contextualize the mannequin and information well being insights with each technical and non-technical audiences, bringing stakeholders alongside in addition to helping in compliance critiques. Microsoft is dedicated to accelerating our improvements in Responsible AI.
Microsoft is proud to be acknowledged as a Leader within the IDC MarketScape Worldwide MLOps Platforms 2022 Vendor Assessment, and we’re excited by improvements occurring at Microsoft and throughout the trade that empower information scientists and machine studying engineers to completely operationalize the ML lifecycle. You can learn and study from the report excerpt.
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About the graphic:
IDC MarketScape vendor evaluation mannequin is designed to offer an outline of the aggressive health of ICT suppliers in a given market. The analysis methodology makes use of a rigorous scoring methodology primarily based on each qualitative and quantitative standards that ends in a single graphical illustration of every vendor’s place inside a given market. The Capabilities rating measures vendor product, go-to-market, and enterprise execution within the brief time period. The Strategy rating measures alignment of vendor methods with buyer necessities in a 3-5-year timeframe. Vendor market share is represented by the dimensions of the circles. Vendor year-over-year development price relative to the given market is indicated by a plus, impartial, or minus subsequent to the seller identify.