
What’s new in Azure Data, AI, and Digital Applications: Are you ready to go from GenAI experimentation to solutions deployed at scale?
We are now in the second year of the era of AI.
Fuel your development journey with cutting-edge tools and insights that cater specifically to the needs of developers, enhancing productivity and innovation.
We are now in the second year of the era of AI.
Organizations of all sizes are embracing cloud computing to enhance their operations, optimize resource utilization, and gain a competitive edge. However, navigating the complexities of cloud adoption and ensuring optimal performance can be a daunting task.
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.
At the Developer Experience Lab, a joint Microsoft and GitHub research initiative, we saw this play out globally during the pandemic which led us to a revelation: the best way to help developers achieve more is not by expecting more, but by improving their experience.
We’re honored to announce that Microsoft has been named a Leader in the 2023 Gartner® Magic Quadrant™ for Container Management*.
To support customers in getting the most from their cloud portfolio, Microsoft works with partners such as Dynatrace, an analytics and automation platform powered by causal AI, and recognized as a Leader in the 2023 Gartner® Magic Quadrant™.
This month, I’m pleased to expand this blog’s scope and bring in what’s new for digital applications for a holistic look at everything we’re delivering to help customers modernize their data estate, build intelligent applications, and apply AI technologies to help achieve their business goals.
Microsoft’s mission is to empower everyone to achieve more, and we know that our customers like using MongoDB to build applications.
We are excited to announce that Microsoft Azure is recognized as a leader in the inaugural IDC MarketScape for AI Governance Platforms. IDC looked at AI governance platforms that ensure AI and machine learning lifecycle governance, collaborative risk management, and regulatory excellence for AI.
Copilot—powered by Microsoft Azure OpenAI Service—allows you to simplify how you design, operate, optimize, and troubleshoot apps and infrastructure from cloud to edge.
We are excited to share that Oracle Database@Azure is generally available in the Azure United States East region, with more regions coming in 2024. You can now use Oracle database services running on Oracle Cloud Infrastructure (OCI) hardware deployed in Azure data centers.
As customers and partners have adopted and experimented with the Azure Space portfolio, new and interesting use cases are emerging that illustrate what’s possible.