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.
Delve into the insights of industry pioneers with our Thought Leadership content, where visionary ideas and forward-thinking strategies converge to shape the future of technology.
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.
As the holiday season of 2023 unfolded, it brought not only cheer and celebration but also a surge in Distributed Denial-of-Service (DDoS) attacks. This year’s trends in DDoS attacks reveal a complex and evolving threat landscape.
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.
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.
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.
Companies around the world are using AI to understand potential threats, make informed decisions, and take actions to avoid or reduce risk.
Microsoft “30 Days to Learn It” challenges are dynamic and immersive learning experiences designed to empower individuals with the skills and knowledge needed to excel in their chosen tech career path.
Although there is much excitement for copilot pattern-based solutions, it’s important for businesses to carefully consider the design elements to guarantee a durable, ever-evolving, and effective approach. How can you ensure your solution does not just capture attention, but also enhances customer engagement?
In this blog post, we will discuss some of the design principles and characteristics that we see among the customer leaders we work with closely to enhance their critical workload availability according to their specific business needs.
In Microsoft Azure, we are continually innovating to enhance security, such as our collaboration with our hardware partners to create a new foundation based on silicon, that enables new levels of data protection through memory encryption using Confidential Computing.