We’re excited to share that Microsoft has been acknowledged as a Chief within the IDC MarketScape Worldwide Machine Studying Operations (MLOps) Platforms 2022 Vendor Evaluation. Microsoft holds a deep understanding of MLOps market traits, robust buyer adoption, broad accomplice 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 your entire machine studying (ML) lifecycle in addition to an expansive buyer footprint and accomplice community.
“Microsoft offers 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 Studying Operations Platforms 2022 Vendor Evaluation
Supply: “IDC MarketScape: Worldwide Machine Studying Operations Platforms 2022 Vendor Evaluation”, By: Kathy Lange, Raghunandhan Kuppuswamy, and David Schubmehl, December 2022, IDC #US48325822.
Do extra with much less with MLOps on Azure
Whereas 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 your entire ML lifecycle to carry fashions to manufacturing sooner and at scale, enhancing operational efficiencies of knowledge science groups with MLOps. At Microsoft, we contemplate MLOps as a philosophy quite than a product and, as such, our strategy incorporates folks, processes, and platform to ship steady worth with fewer assets for machine studying. MLOps carry advantages to organizations by automating repeatable actions, facilitating collaboration throughout groups, and guaranteeing full visibility and reproducibility into the end-to-end ML lifecycle.
Azure Machine Studying helps information scientists and ML engineers streamline coaching, deployment, and administration of 1000’s 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 Studying to automate mannequin creation and deployment and analyze retailer buyer information to reply to buyer demand extra effectively. In truth, they’ve succeeded in eliminating four,300 days of handbook work a yr.
Improve collaboration throughout the group
We consider machine studying is a workforce sport that requires collaboration throughout folks with a unique vary of ability units, reminiscent of information scientists, machine studying engineers, and IT admins. One of many key options talked about within the report is that Azure Machine Studying allows better collaboration throughout a number of information science groups by way of registries. Registries in Azure Machine Studying are organization-wide repositories of machine studying belongings: fashions, environments, and parts. Registries make multi-environment MLOps simpler by serving to groups share and reuse fashions developed in a unique workspace, by a unique workforce with out manually copying them over.
One other function that fosters collaboration between information scientists and enterprise professionals is the Accountable AI dashboard and scorecard, a single interface to assist organizations implement Accountable AI in follow successfully and effectively. The Accountable AI scorecard helps contextualize the mannequin and information well being insights with each technical and non-technical audiences, bringing stakeholders alongside in addition to aiding in compliance evaluations. Microsoft is dedicated to accelerating our improvements in Accountable AI.
Microsoft is proud to be acknowledged as a Chief within the IDC MarketScape Worldwide MLOps Platforms 2022 Vendor Evaluation, and we’re excited by improvements taking place at Microsoft and throughout the trade that empower information scientists and machine studying engineers to completely operationalize the ML lifecycle. You’ll be able to learn and be taught from the report excerpt.
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Concerning the graphic:
IDC MarketScape vendor evaluation mannequin is designed to supply an summary 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 leads to 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 Technique rating measures alignment of vendor methods with buyer necessities in a Three-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.