December 22, 2022

This article is Part 3 in a three-part series on scaling AI. If you missed them, you can read Part 1 “How Enterprises Can Scale AI Successfully” and Part 2 “Realizing the Financial Value Of AI” now. And don’t forget to register for our upcoming live webinar on January 31, 2023.

Earlier this year, Microsoft launched the Microsoft Intelligent Data platform, which integrates Microsoft databases, analytics, business intelligence, and data governance products into a unified platform. While Databricks has been instrumental in delivering the cloud-native platform, last month, Microsoft announced that the companies are going even further to evolve the Analytics platform to an open and governed data lakehouse foundation.

That’s great news for existing and future customers, who will now be able to unify their most demanding business intelligence, machine learning (ML), and artificial intelligence (AI) investments.

Understanding the Integrated Solution

The Microsoft Intelligent Data platform is a leading data and AI cloud platform that manages an organization’s data from many disparate sources—and makes it actionable through automation and AI. Foundational to the platform is the Databricks Lakehouse, an open and governed platform that unifies the best of data warehouses and data lakes in one simple platform to handle all data, analytics, ML and AI workloads at scale.

Azure Databricks is tightly integrated with Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Power BI, and other Azure services.

azure databricks chart

Benefits of Azure Databricks

The strengthened partnership between Databricks and Microsoft “is a significant step forward in helping customers adopt an open, well-governed data lakehouse on Azure with the entirety of the Microsoft Intelligent Data Platform capabilities,” says Ali Ghodsi, Co-Founder and CEO of Databricks. “More than ever, customers are able to quickly and easily unify their data, analytics, and AI with a simple and open approach.”

The platform provides a simple, collaborative environment for data scientists, data engineers, and data analysts to run interactive and scheduled data analysis workloads. But it also enables stakeholders at all levels of the organization to access data—from operational to analytical—and make quicker, stronger decisions, which can impact efficiency, quality, and the bottom line.

Furthermore, because Databricks Lakehouse simplifies enterprise data infrastructure and reduces the need for both a data warehouse and a data lake, organizations can reduce complexity and cost.

Neudesic Quickens Databricks Adoptions

Neudesic, which is a Microsoft 2022 US AI Partner of the Year Winner & Global AI Finalist, is using our Data & AI Platform Accelerator to help organizations quickly deploy a modern data and AI platform.

The solution, built in partnership with Microsoft and Databricks, is built on Databricks Lakehouse and includes pre-built code for integrating data sources, building data models, data governance, and predictive analytics. And we’ve helped organizations—from global manufacturers to large retailers—process, store, clean, share, analyze, model, and monetize vast amounts of data using Azure Databricks. In fact, Neudesic can deploy Databricks end-to-end in 10 days or less.

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