Wednesday, March 8, 2023
HomeArtificial IntelligenceMake Higher Information-Pushed Selections with DataRobot AI Platform Single-Tenant SaaS on Microsoft...

Make Higher Information-Pushed Selections with DataRobot AI Platform Single-Tenant SaaS on Microsoft Azure

Organizations that wish to show the worth of AI by creating, deploying, and managing machine studying fashions at scale can now achieve this shortly utilizing the DataRobot AI Platform on Microsoft Azure. DataRobot on Azure accelerates the machine studying lifecycle with superior capabilities for speedy experimentation throughout new knowledge sources and a number of downside varieties. DataRobot identifies and recommends fashions which are prepared to maneuver into manufacturing by robotically testing and evaluating 1000’s of fashions, whereas these already in manufacturing are repeatedly monitored to make sure efficiency and compliance. This generates dependable enterprise insights and sustains AI-driven worth throughout the enterprise. 

DataRobot is obtainable on Azure as an AI Platform Single-Tenant SaaS, eliminating the time and value of an on-premises implementation. AI Platform Single-Tenant SaaS are absolutely managed by DataRobot and change disparate machine studying instruments, simplifying administration. Distinctive to DataRobot, this service helps clients with particular knowledge administration or knowledge sovereignty wants, in addition to organizations focused on outsourcing the IT administration and arrange of recent software program purchases. Lowering time to worth in deploying, upgrading, and managing the AI infrastructure, AI Platform Single-Tenant SaaS permits clients to concentrate on producing extra worth, sooner, with AI.

Enterprises that use DataRobot on Azure get the information, expertise, and greatest practices of knowledge scientists from DataRobot. Additionally they achieve entry to greater than 200 merchandise and cloud providers on the Azure cloud platform designed to assist purchasers create new options to unravel at present’s enterprise challenges. Clients can construct, run, and handle purposes throughout a number of clouds, on-premises, and on the edge, with the instruments of their selection. The DataRobot AI Platform seamlessly integrates with Azure cloud providers, together with Azure Machine Studying, Azure Information Lake Storage Gen 2 (ADLS), Azure Synapse Analytics, and Azure SQL database. 

Flexibility and Scalability: Advantages of the DataRobot and Azure Integration

The DataRobot integration with Microsoft supplies our clients with versatile choices for procurement through the Azure Market, straightforward mannequin deployment within the Azure ecosystem, and built-in knowledge connectors for Azure Synapse Analytics, ADLS Gen2, and Azure SQL Database. Fashions skilled in DataRobot may also be simply deployed to Azure Machine Studying, permitting customers to host fashions simpler in a safe method. AI Platform Single-Tenant SaaS could be ubiquitously used throughout numerous Microsoft merchandise enabling extra AI builders throughout enterprises to scale enterprise affect. 

Right this moment’s organizations are realizing success with enterprise-grade AI applied sciences for quick and safe enterprise development. The scalability of the Microsoft Azure cloud platform mixed with the highly effective machine studying capabilities of DataRobot’s AI platform Single-Tenant SaaS empowers clients to develop their enterprise via dependable AI-driven selections.

Tony Surma

CTO, US Companions, Microsoft

Collectively, the DataRobot AI Platform and Azure present: 

  • Safety, governance, and compliance of AI tasks. With built-in guardrails and automatic mannequin documentation for compliance,  have the boldness it’s essential to make enterprise selections shortly. You should have the flexibility to deploy a mannequin generated in  DataRobot for inferencing on Azure Machine Studying for geographic isolation, safety, and management over manufacturing fashions. The centralized, ruled DataRobot MLOps atmosphere supplies most flexibility for customers to determine which of the DataRobot really helpful fashions they wish to leverage and the size to assist strong inferencing via Azure Machine Studying. 
  • The flexibility to scale the productiveness of AI groups by simplifying complicated AI lifecycles.  DataRobot MLOps offers you every part it’s essential to scale AI in manufacturing, with one place to handle all fashions whether or not deployed contained in the DataRobot AI Platform or deployed on prime of Azure Machine Studying. Your AI groups will likely be geared up with self-serve instruments, explainable automation, and handbook overrides to run a whole lot of various fashions in minutes, permitting you to unravel enterprise issues sooner with much less danger to the enterprise. The intuitive DataRobot consumer interface and APIs make it straightforward for AI builders with totally different ability units to collaborate, enhance productiveness, and combine DataRobot with their current ecosystem. The mix of speedy experimentation and manufacturing simplifies the machine studying lifecycle, enabling AI groups to repeatedly monitor precious metrics together with the well being and accuracy of manufacturing fashions, and accelerating total time to worth.
  • The potential to quickly construct an AI-powered group with industry-specific options and experience. Lastly, customers get entry to cutting-edge algorithms and mannequin blueprints, together with the most recent in deep studying, that incorporate superior knowledge science greatest practices, developed by Kaggle-ranked knowledge scientists in DataRobot. The platform empowers groups with a library of a whole lot of industry-specific greatest practices, use circumstances, and assets like notebooks and answer accelerators that expedite time to perception. 

Get Began with DataRobot on Azure

DataRobot AI Platform on Azure supplies enterprises the safety and governance required to scale utilized AI. Guardrails and best-practices are embedded all through the AI lifecycle—from improvement to deployment—enabling specialised groups, equivalent to knowledge science, IT, and enterprise specialists, to do extra with much less and collaborate collectively. This drastically improves productiveness of groups and permits them to scale enterprise outcomes. 

With built-in compliance documentation and automatic governance, the DataRobot AI Platform lets regulated industries scale AI with unprecedented pace and confidence. Monetary providers organizations can use DataRobot AI Platform on Azure to unravel enterprise challenges, equivalent to credit score danger administration, whereas remaining compliant with {industry} rules.

The DataRobot AI Platform is the subsequent technology of AI. DataRobot’s imaginative and prescient is to convey collectively all knowledge varieties, all customers, and all environments to ship essential enterprise insights for each group. DataRobot is trusted by international clients throughout industries and verticals, together with a 3rd of the Fortune 50. For extra data, go to

DataRobot AI Platform is obtainable through Azure Market.


From Imaginative and prescient to Worth. Creating Impression with AI

Thursday, March 16, 2023

Register free of charge

Concerning the creator

May Masoud
Might Masoud

Information Scientist, DataRobot

Might Masoud is a knowledge scientist, AI advocate, and thought chief skilled in classical Statistics and trendy Machine Studying. At DataRobot she designs market technique for the DataRobot AI Cloud platform, serving to international organizations derive measurable return on AI investments whereas sustaining enterprise governance and ethics.

Might developed her technical basis via levels in Statistics and Economics, adopted by a Grasp of Enterprise Analytics from the Schulich Faculty of Enterprise. This cocktail of technical and enterprise experience has formed Might as an AI practitioner and a thought chief. Might delivers Moral AI and Democratizing AI keynotes and workshops for enterprise and educational communities.

Meet Might Masoud



Please enter your comment!
Please enter your name here

Most Popular

Recent Comments