Microsoft AI

✨ For 25 years, SharePoint has been at the center of how Microsoft employees collaborate, communicate, and manage information across the enterprise. This Inside Track story shares how that journey has evolved from on‑premises deployments to the cloud, and now into a foundation for AI‑powered and agent‑driven experiences. It highlights practical lessons in governance, data management, and scaling collaboration tools over time. Read the full story: https://msft.it/6047vrn5S #Microsoft365 #SharePoint #ITLeadership #DigitalTransformation

Which one is which? Drop your best guess. Try it today. https://lnkd.in/gqr3eFcp

Shutterstock recently evaluated MAI-Image-2-Efficient, the latest model from Microsoft AI. That moment reflects a broader shift happening across AI right now. As more high-quality and niche models enter the market, the challenge is no longer just building them. It’s understanding how they actually perform in real-world workflows and where the next level of differentiation is coming from. From our evaluation work, one thing is becoming clear: performance is defined not only by what a model can generate, but also by what teams can use it for. Here’s our perspective after evaluating Microsoft’s latest model: "Microsoft Image 2 Efficient shows strong progress in prompt fidelity and creative usability across a range of workflows. In our evaluation work, we look closely at how well models translate intent into consistent, production-ready outputs, and this model is trending in the right direction. That level of reliability is what ultimately matters when teams move from experimentation into real-world use." — Vanessa Salvo, Principal Product Manager, Shutterstock We unpack this more in our latest piece on what actually matters when evaluating AI models for production. Check it out here: https://lnkd.in/ehmtCPdK #AI #GenerativeAI #ModelEvaluation #AIInfrastructure

MAI-Voice-1 exports flawless audio in record speed. Can you tell the difference between the real recording and our model? Drop your best guess. Try it today. https://lnkd.in/gVnCq_Ff

MAI-Voice-1 adapts tone, pacing, and delivery across domains, from translation to customer support, while maintaining clarity and intent. Can you tell which one is which? Try it for yourself. https://lnkd.in/gABwbR8N

We spend a lot of time evaluating how new models perform in real-world workflows, especially as teams move from experimentation into production. We had the opportunity to test Microsoft AI latest MAI-Image-2-Efficient model, and here’s our early perspective: "MAI-Image-2-Efficient shows strong progress in prompt fidelity and creative usability across a range of workflows. In our evaluation work, we look closely at how well models translate intent into consistent, production-ready outputs, and this model is trending in the right direction. That level of reliability is what ultimately matters when teams move from experimentation into real-world use." — Vanessa Salvo, Principal Product Manager, Shutterstock You can read more in their latest blog at https://lnkd.in/esHPxe7e Looking forward to seeing how this evolves. #AI #GenerativeAI #ModelEvaluation #AIInfrastructure

Big on quality. Light on compute. Meet MAI‑Image‑2‑Efficient, our production model built for rapid iteration—delivering 4× the efficiency of MAI‑Image‑2. Learn more here: https://lnkd.in/gT_MrdgM

Text is often the hardest part of image generation to get right. MAI-Image-2 improves consistency and legibility for in-image text across infographics, diagrams, and slides — reducing the gap between prompt and output. Try it for yourself. https://lnkd.in/gUV_K3ti

MAI-Voice-1 sets a new bar for natural, expressive speech generation. Can you tell which voice is synthetic and which is human? Try it for yourself. https://lnkd.in/gckmfJkh