More value, less risk: How to implement generative AI across the organization securely and responsibly
The technology landscape is undergoing a massive transformation, and AI is at the center of this change.
Thought leadership
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AI safety first: Protecting your business and empowering your people
Microsoft has created some resources like the Be Cybersmart Kit to help organizations learn how to protect themselves. -
Azure
Achieving AI readiness through comprehensive modernization
I’ll cover what modernization really means, why it matters for your business, and how to think about modernization as your path to AI value. -
5 key features and benefits of large language models
Large language models (LLMs) offer significant benefits across various industries by automating and enhancing numerous tasks involving natural language processing -
How Mexico is pioneering AI innovation for a global future
Recently, the Microsoft AI Tour event in Mexico City highlighted the variety of ways in which AI is enabling Mexico to become a premier innovation hub. -
3 ways social impact organizations can leverage AI to transform outcomes at scale
We are supporting nonprofits through technology, and particularly by leveraging Azure AI, to deepen their impact in three significant ways. -
Microsoft Source
Fighting deepfakes with more transparency about AI
Supporting a more trustworthy information ecosystem with responsible AI tools and practices is just one way Microsoft is fighting harmful deepfakes. -
Sustainable by design: Innovating for energy efficiency in AI, part 2
In this blog, I’d like to share a few examples of how we’re bringing promising efficiency research out of the lab and into commercial operations. -
3 key features and benefits of small language models
Bigger is not always necessary in the rapidly evolving world of AI, and that is true in the case of small language models (SLMs). -
Microsoft Learn Blog
Get AI ready: Inside the Copilot Learning Hub
The Copilot Learning Hub caters to technical audiences and ensures that each learner accesses content that is tailored to their learning goals. -
Sustainable by design: Innovating for energy efficiency in AI, part 1
Read some examples of how we’re advancing the power and energy efficiency of AI. -
Microsoft Source
Measurement is the key to helping keep AI on track
This new approach to measurement, or defining and assessing risks in AI and ensuring solutions are effective, looks at both social and technical elements of how the generative technology interacts with people.