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 tendencies, sturdy 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 the complete machine studying (ML) lifecycle in addition to an expansive buyer footprint and companion community.
“Microsoft gives a big selection of enterprise-grade MLOps instruments for high quality and compliance that may increase any ML growth setting on-premises, throughout clouds, or in a hybrid cloud setting.” —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 contemplate when productionizing machine studying fashions. These organizations look to a unified machine studying platform to handle the complete ML lifecycle to convey fashions to manufacturing sooner and at scale, bettering operational efficiencies of information science groups with MLOps. At Microsoft, we think about MLOps as a philosophy reasonably than a product and, as such, our strategy 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 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 similar 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 information to answer buyer demand extra effectively. In actual fact, they’ve succeeded in eliminating 4,300 days of handbook work a yr.
Improve collaboration throughout the group
We consider machine studying is a crew sport that requires collaboration throughout folks with a special vary of ability units, similar to information scientists, machine studying engineers, and IT admins. One of many key options talked about within the report is that Azure Machine Studying allows larger collaboration throughout a number of information science groups by 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 crew with out manually copying them over.
One other function that fosters collaboration between information 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 information well being insights with each technical and non-technical audiences, bringing stakeholders alongside in addition to helping 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 occurring at Microsoft and throughout the trade that empower information scientists and machine studying engineers to completely operationalize the ML lifecycle. You possibly can learn and study from the report excerpt.
In regards to 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 quick 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 progress charge relative to the given market is indicated by a plus, impartial, or minus subsequent to the seller identify.