Reflecting on 2023—Azure Storage
2023 was an emblematic year of growth for storage and data services with AI at the top of mind for many customers.
Thought leadership
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.
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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. The first year was full of excitement and experimentation, giving all of us a glimpse into the powerful potential of AI to revolutionize experiences for customers, improve employee productivity, and ignite a sense of wonder. -
Elevate Azure expertise with new AI and optimization video episodes
Organizations of all sizes are embracing cloud computing to enhance their operations, optimize resource utilization, and gain a competitive edge. -
Achieve generative AI operational excellence with the LLMOps maturity model
In our LLMOps blog series, we’ve explored various dimensions of Large Language Models (LLMs) and their responsible use in AI operations. -
Unwrapping the 2023 holiday season: A deep dive into Azure’s DDoS attack landscape
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. -
Quantifying the impact of developer experience
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. -
What’s new in Azure Data, AI, & Digital Applications: Modernize your data estate, build intelligent apps, and apply AI solutions
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. -
Infuse responsible AI tools and practices in your LLMOps
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. -
Future proof—Navigating risk management with Azure OpenAI Service
Companies around the world are using AI to understand potential threats, make informed decisions, and take actions to avoid or reduce risk. -
Optimize your Azure cloud journey with skilling tools from Microsoft
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. -
The seven pillars of modern AI development: Leaning into the era of custom copilots
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. -
Building resilience to your business requirements with Azure
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.
Explore Microsoft Foundry
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