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 companion 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 your entire 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 surroundings on-premises, throughout clouds, or in a hybrid cloud surroundings.” —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 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 your entire ML lifecycle to carry fashions to manufacturing quicker and at scale, bettering operational efficiencies of information science groups with MLOps. At Microsoft, we contemplate MLOps as a philosophy slightly 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 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 1000’s of fashions throughout on-premises, multicloud, and even on the edge utilizing native MLOps capabilities akin 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 handbook work a 12 months.

Improve collaboration throughout the group

We imagine machine studying is a workforce sport that requires collaboration throughout folks with a special vary of ability units, akin to knowledge scientists, machine studying engineers, and IT admins. One of many key options talked about within the report is that Azure Machine Studying permits better collaboration throughout a number of knowledge science groups by means of registries. Registries in Azure Machine Learning are organization-wide repositories of machine studying property: 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.

One other function 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 evaluations. 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.

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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 based mostly 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 dimensions of the circles. Vendor year-over-year development charge relative to the given market is indicated by a plus, impartial, or minus subsequent to the seller title.

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