July 17, 2024
Microsoft named a Chief within the IDC MarketScape: Worldwide MLOps Platforms 2022 Vendor Evaluation | Azure Weblog and Updates

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 associate ecosystem, and continued product investments in constructing a differentiated MLOps platform.

The visual represents a high-resolution graphic of IDC MarketScape which maps companies assessed in the report in two criteria, with x-axis indicates Strategies and y-axis indicates Capabilities.

The report cited a number of key strengths together with product and enterprise capabilities throughout the whole machine studying (ML) lifecycle in addition to an expansive buyer footprint and associate 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 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 lots of challenges like knowledge governance, safety, knowledge compliance, and auditability that corporations want to contemplate when productionizing machine studying fashions. These organizations look to a unified machine studying platform to handle the whole ML lifecycle to convey fashions to manufacturing sooner and at scale, enhancing operational efficiencies of information science groups with MLOps. At Microsoft, we think about MLOps as a philosophy somewhat than a product and, as such, our method incorporates folks, processes, and platform to ship steady worth with fewer assets for machine studying. MLOps convey 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 Studying helps knowledge 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 equivalent to model registry, CI/CD pipelines with deep integration with Azure DevOps and GitHub, managed online endpoints for real-time inference, and experiment tracking and lineage with MLflow. PepsiCo has been utilizing MLOps capabilities in Azure Machine Studying to automate mannequin creation and deployment and analyze retailer buyer knowledge to answer buyer demand extra effectively. The truth is, they’ve succeeded in eliminating 4,300 days of guide work a yr.

Improve collaboration throughout the group

We consider machine studying is a group sport that requires collaboration throughout folks with a distinct vary of talent units, equivalent to knowledge scientists, machine studying engineers, and IT admins. One of many key options talked about within the report is that Azure Machine Studying allows higher collaboration throughout a number of knowledge science groups by way of registries. Registries in Azure Machine Learning 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 distinct workspace, by a distinct group with out manually copying them over.

One other characteristic that fosters collaboration between knowledge scientists and enterprise professionals is the Responsible 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 knowledge well being insights with each technical and non-technical audiences, bringing stakeholders alongside in addition to aiding in compliance critiques. Microsoft is dedicated to accelerating our innovations in Responsible 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 knowledge scientists and machine studying engineers to totally operationalize the ML lifecycle. You may learn and study from the report excerpt.

Be taught extra

 


 

Concerning 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 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 3-5-year timeframe. Vendor market share is represented by the scale of the circles. Vendor year-over-year progress price relative to the given market is indicated by a plus, impartial, or minus subsequent to the seller title.