Databricks, a pioneer of the Data Lakehouse an integral component of their Data Intelligence Platform is available as a fully managed first party Data & AI solution on Microsoft Azure as Azure Databricks, making Azure the optimal cloud for running Databricks workloads.
Today, we are excited to announce a reimagined data governance experience within Microsoft Purview, available in preview April 8, 2024.
In our LLMOps blog series, we’ve explored various dimensions of Large Language Models (LLMs) and their responsible use in AI operations. Elevating our discussion, we now introduce the LLMOps maturity model, a vital compass for business leaders.
We’re dedicated to documenting and sharing our learnings and best practices with the developer community so they can make responsible AI implementation practical for their organizations.
With new developments like Copilot in Microsoft Cost Management and Microsoft Fabric, there couldn’t be a better time to take a fresh look at how you manage cost within your organization and how you can leverage the FinOps Framework and the FinOps Open Cost and
The enterprise development process requires collaboration, diligent evaluation, risk management, and scaled deployment. By providing a robust suite of capabilities supporting these challenges, Azure AI affords a clear and efficient path to generating value in your products for your customers.
Today we are unveiling Microsoft Fabric—an end-to-end, unified analytics platform that brings together all the data and analytics tools that organizations need.
Accenture is focused on connecting data to business value and working with Microsoft to deliver a fully integrated approach using the OSDU Data Platform to accelerate digital transformation.
With Microsoft Energy Data Services, energy companies can leverage new cloud-based advanced data visualization capabilities for geoscientists provided by INT and Microsoft Energy Data Services.
Azure for Operators is introducing a network analytics solution accelerator program, providing a standardized approach to data acquisition and visualization that aids operators on their journey toward complete end-to-end AI Operations (AIOps).
