Today I was recognized for my mentoring of startup founders, some of whom are operating in emerging markets and are in under-resourced communities. This has been one of the most personal and impactful ways we at Microsoft can support and enable these founders, that is, sharing our startup experience and industry knowledge through mentorship. I hope this inspires startups to turn to Microsoft where we can truly democratize access to resources and channels that can help founders grow and scale their businesses.
When companies transition to the cloud, they typically begin with applications and virtual machines, which is often the easier part of the process. The actual complexity arises later when databases are moved. To save time and effort, cloud adoption is more of a cloud migration in an IaaS manner, fulfilling current, but not future needs. Even organisations that are already in the cloud find that their databases, although “migrated,” are not genuinely modernised. This disparity becomes particularly evident when they begin to explore AI technologies. Understanding Modernisation Beyond Migration Database modernisation is distinct from merely relocating an outdated database to Azure. It's about making your data layer ready for future needs, like automation, real-time analytics, and AI capabilities. AI needs high throughput, which can be achieved using native DB cloud capabilities. When your database runs in a traditional setup (even hosted in the cloud), in that case, you will enc...

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