More time for research: ZEISS supports businesses and researchers with ZEISS arivis Cloud based on Microsoft Azure

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Researchers from ZEISS, a leading optical solutions company, needed to automate manual image segmentation for scientists using microscopy, a method to closely and accurately observe tiny objects. They needed a stable, reliable platform on which to build their arivis Cloud that would allow them to quickly and easily train deep learning models. Read this customer story showing why ZEISS chose @Microsoft Azure as their platform and how it’s helped bioscience researchers.

Copilot in Customer Service

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Elevate your customer service quality with AI assistance.

✅ Increased efficiency

✅ Reduced wait times

✅ Exceptional service with less onboarding.

Explore the interactive tour for insights into how @Microsoft Dynamics 365 Customer Service can reshape the way you engage with customers.

Microsoft Entra

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Right-size your identity and access management solutions with the Microsoft Entra family of security tools. Get this datasheet to learn more.
@Microsoft Security

New Technology: The Projected Total Economic Impact™ of Microsoft Intelligent Data Platform

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Your organization’s ability to integrate and adopt advanced technologies like AI hinges on the strength and agility of your infrastructure. @Microsoft Intelligent Data Platform delivers a projected ROI of 95% – 232%. How else do you benefit? Download your complimentary copy of @Forrester’s TEI report for findings on projected cost savings and other quantified business benefits.

Total Economic Impact of Dynamics 365 Customer Service

Ken Grondell How To

How much could an investment in @Microsoft Dynamics 365 Customer Service impact your bottom-line? Read this Total Economic Impact (TEI) conducted by Forrester Consulting that examines the potential 315% return on investment of Dynamics 365 Customer Service. DM us for an assessment.

Announcing Phi-3 fine-tuning, new generative AI models, and other Azure AI updates to empower organizations to customize and scale AI applications

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Developing and deploying AI applications at scale requires a flexible platform that can create solutions grounded in an organization’s organizational data. How would you describe your current AI app process? If there’s room for improvement, take a look at this @Microsoft blog post outlining the new capabilities of the Phi-3 small language models that give your dev teams greater choice and flexibility when creating AI solutions.

The Microsoft Intelligent Data Platform — Unleash your data and accelerate your transformation

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Data solutions created today must be designed to ensure they can easily manage spikes in data, new workloads and new technologies for many years to come. How confident are you that your solution can manage future advances? Read this blog about the advantages of the @Microsoft Intelligent Data Platform, the innovative solution that lets you take advantage of integrated advanced analytics and the latest AI tools.