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How to reduce change-related incidents and downtime

Change management is a crucial process for ensuring the stability and performance of IT systems. However, it can also be a source of risk, as changes can introduce errors, conflicts, and failures that affect the business.

This brief video examines how Change Risk Prediction (CRP) leverages AI to assess the impact and likelihood of changes before they are implemented, enabling you to drastically reduce change-related incidents and downtime. Click through to learn more now.

These are also closely related to: "Rational Build Forge Demo Series"

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    Today, finding a software support partner is easier said than done. Luckily, companies like Rimini Street can provide you with exceptional enterprise support, enabling your organization to control your roadmap and future.

    With a dedicated support engineer, fast response times, and expert engineering teams, they offer personalized, human-first service. Their AI-driven systems enhance support, quicken resolutions, and reduce critical issues. Rimini Street also delivers proactive security, software environment future-proofing, and impartial cloud and roadmap advice.

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    In 2024, three organizations – Vodafone, Accenture and Atlassian – embarked on the first trial of Atlassian Intelligence and Rovo.

    This webcast explores how Vodafone used the generative AI technology to improve its product development lifecycle, including through portfolio backlog refinement.

    Additionally, in the webcast Head of Portfolio Strategy & Funding at Vodafone, Fiona Chalk, and Business Agility Senior Manager & Atlassian Advisor at Accenture, Rekha Priyesh, consider:

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    • The extent to which generative AI can automate and augment working hours
    • The outcomes of Vodafone’s GenAI adoption

    Watch now to access the complete presentation.

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