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A Practical Guide for Bringing AI into Your Business processes

Unlock new efficiencies by combining AI capabilities with human expertise. Microsoft’s “A Practical Guide for Bringing AI into Your Business Processes” explores real-world examples of AI-enhanced research, content management, and personalization. Discover practical ideas for streamlining workflows, improving quality, and identifying the skills your teams need to succeed. To learn how to put AI to work across your organization and free employees for higher-value activities, download your complimentary copy of the eBook by answering a few quick questions.

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Tecban increases up to 35% productivity with Microsoft 365 Copilot + GitHub Copilot | Microsoft Customer Stories

Scale AI productivity without sacrificing control, Tecban, a Brazilian banking technology provider, wanted to boost productivity while maintaining the governance, security, and compliance essential to its operations. By deploying Microsoft 365 Copilot and GitHub Copilot, the company brought AI into everyday workflows, achieving up to 30% productivity gains and accelerating time-consuming tasks. Read the customer story for lessons from Tecban’s experience to inform your organization’s AI adoption strategy.

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When is a business really recovered from a cyberattack?

Cyber recovery should be measured by more than restored applications and infrastructure. InformationWeek explores why organizations should connect technology recovery to critical business processes, operating capacity, customer commitments, financial impact, and residual risk. Connect with ONIT Technology Solutions to discuss how these trends may influence your organization’s technology strategy.

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The Total Economic Impact Of Migrating To Azure For AI-Readiness

What does on-premises infrastructure cost your AI program? Forrester quantified it in the Total Economic Impact™ study, “The Total Economic Impact™ of Migrating to Microsoft Azure for AI-Readiness,” commissioned by Microsoft. The findings show a three-year present value benefit of $558K, 17% lower AI deployment costs, 15% lower operating costs, and greater flexibility to build and improve AI applications. For the full analysis behind those figures, download the Forrester study by completing the form.

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