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Unlocking AI Power Strategies for Legacy App Migration to Microsoft Cloud
Companies urgently need to modernize their legacy systems by integrating AI to remain competitive and drive digital transformation. Currently, 42% of organizations are incorporating AI into their existing applications as part of their modernization efforts. Microsoft accelerates AI innovation by providing a comprehensive cloud and AI platform that facilitates this transition. Their strategy involves assessing, modernizing, and infusing AI into applications, then optimizing them for enhanced performance. By 2025, businesses can significantly improve operational efficiency and unlock new revenue streams through these transformations, leveraging Microsoft’s crucial cloud partnerships. Cloud migration is a foundational technological initiative that supports future growth, especially within AI-first paradigms. The global AI market is poised for substantial expansion for businesses that embrace these changes. The projected benefits are illustrated below:Key Takeaways* Companies must update old apps with AI. This helps them stay competitive. Microsoft Cloud offers tools to make this easier.* Check your old apps first. See if they can use AI. Microsoft Azure Migrate helps find AI chances and fix old code.* Move apps to Azure. You can move them as they are or change their code. Tools like .NET Core and GitHub Copilot make this faster.* Add AI features using Azure AI services. Build custom AI models for your business. Use Azure data platforms to manage AI data.* Use AI wisely. Add it step by step. Keep AI systems safe. Teach your team new skills to manage these changes.Assessing Legacy for AI ReadinessFirst, companies must check their old apps. They need to see if these apps can use AI. This is a very important step. It means looking closely at all current systems. Microsoft has tools like Azure Migrate. These tools use new AI features. They make checking apps much faster. The AI helps guide the process. It does many tasks automatically. This makes migration quicker and smarter. It does not need much new training. Azure Migrate also understands apps well. It sees all apps in a company. It also looks deep into each app. This includes how apps connect. This helps make smart choices. These choices are based on facts. This happens during the whole update process.Identifying AI OpportunitiesFinding chances for AI in old systems needs a clear plan. Teams must look at old tech. They need to find slow spots. They must check for security holes. They also need to fix connection problems. They also need to check data quality. They must make sure data is clean. Data needs to be in a standard form. It must connect from all places. This helps AI work well. Linking AI chances to business goals is key. This matches AI uses to company aims. It puts important things first. This is based on how much value they bring. It also looks at how easy they are to do. It can change old code. It can make it new. It can also speed up testing. It makes checking for errors faster. It finds problems quickly. It makes connecting systems easy. It brings different data together. Also, AI watches system performance. It does this all the time. It can guess and stop problems. It makes apps better for edge computing. This helps them grow easily.Technical Debt and ModernizationFixing technical debt is a big part. It
Published on 22 hours ago