From time-consuming workflows to time savings.

The eBook, “AI IN ACTION: Creating better experiences with Azure AI apps and agents,” showcases real-world use cases that demonstrate how AI apps and agents automate complex business processes. Download your complimentary copy to see how you can use AI apps and agentic AI in Azure to do more by:
– Reducing document drafting from 40 hours to minutes
– Saving up to 25 hours per case with embedded generative AI
– Streamlining workflows with Azure AI Search and Document Intelligence

For practical AI use case insights, complete this short form.

View: AI in action:Creating better experiences with Azure AI apps and agents

Scale generative AI with security and confidence.

The customer story, “PWC scales GenAI for enterprise with Microsoft Azure AI,” shows how PwC built a scalable and secure GenAI architecture to support widespread adoption and innovation. Read this customer story to see how you can:
– Enable enterprise-wide GenAI access for employees
– Increase productivity with proprietary AI-powered tools
– Build scalable, secure AI architecture on Azure

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How to plan and deploy a successful AI pilot.

The eBook, “AI IN ACTION: Creating better experiences with Azure AI apps and agents,” highlights four outcomes organizations prioritize when adopting AI-powered apps and agents. Download your complimentary copy to explore each:
– Enhancing employee experiences
– Transforming customer engagement
– Reimagining business processes
– Accelerating innovation

Discover how Azure AI can help you accelerate innovation and drive real results. Get the eBook when you complete this short form.

View: AI in action:Creating better experiences with Azure AI apps and agents

Reduce risk and accelerate mission-critical outcomes.

When faced with thousands of regulated documents, NSF turned to Azure to streamline its operations. The results were significant and include:
– 50% decrease in audit time for rigorous reviews
– Reduced human error risk with near-perfect accuracy
– Faster time to market

Read the story for details.

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Turn generative AI into a competitive differentiator.

The MIT Technology Review Insights report, “Customizing generative AI for unique value,” reveals how customizing AI helps leading organizations:
– Improve efficiency and streamline operations
– Gain a competitive advantage with unique solutions
– Enhance user satisfaction and innovation

For insight on how to move ahead with AI customization, download your complimentary copy of the report by completing this short form.

View: Customizing generative AI for unique value