Make Deploying and Managing AI in the Cloud Easier With Dataiku for Azure 

June 9, 2022 — According to Gartner, “More than 85% of organizations will embrace a cloud-first principle by 2025 and will not be able to fully execute on their digital strategies without the use of cloud-native architectures and technologies.”*  In a cloud-first world, the challenge for analytics and business leaders is to enable their teams with the best platform capabilities, while also reducing the burden on IT to deploy and manage AI in the cloud. They need to provide their teams with the best AI, machine learning, and analytics platform, while leveraging cloud infrastructure for elastic scale, security, and fast deployment.

That’s why Dataiku has partnered with Microsoft Azure to enable rapid deployment and easy management of the Dataiku cloud AI platform on Azure.

Dataiku’s new cloud stack accelerator for Azure delivers a complete set of AI capabilities for business, analytics, and data science teams that takes full advantage of the Azure cloud infrastructure and managed services. It does so via a completely templated approach to deploying, maintaining, and upgrading your Dataiku AI platform on the Azure Cloud.

With the new Dataiku cloud stack accelerator capability, cloud architects and administrators can automate the deployment, configuration, and management of Dataiku’s Everyday AI platform. The template-driven, clickable interface makes it easy for administrators to control and manage the deployment of elastic cloud AI, onboard new groups of users, and maintain, backup and restore, and upgrade Dataiku for Azure.

Enterprises can be up and running with a full AI stack in just three steps leveraging your Azure Resource Manager with Dataiku’s cloud stack accelerator.

To read the full release, visit the Dataiku tech blog post at this link.

Source: Timothy Law, Xavier Thierry, Dataiku