Generative artificial intelligence (generative AI) is all about creating new content from existing data; it’s seriously changing the game in so many fields. One area that’s seeing some big changes, thanks to generative AI, is cloud computing. By tapping into the power of generative AI, cloud computing has become way more efficient, flexible and innovative. This interesting topic came to us from Ventana Research in their article, “GenAI Reshaping Cloud Computing Market.”
One of the coolest things generative AI has done for cloud computing is making data management a lot easier. Generative AI algorithms are great at quickly and accurately analyzing huge amounts of data. In the world of cloud computing, this means automating things like sorting, cleaning and organizing data—tasks that used to take a lot of manual effort and often led to mistakes.
As AI tech keeps advancing, we’re going to see even more exciting changes in cloud computing. The combination of AI and the cloud will keep shaping the future of digital infrastructure and services. Businesses that jump on board and take advantage of these AI-driven cloud innovations are setting themselves up for success, especially in today’s data-heavy world.
But here’s the catch—most organizations don’t really know how AI systems make decisions or how to interpret the results. That’s where explainable AI comes in. It helps users understand and trust the outcomes generated by machine learning algorithms. When companies can better comprehend what’s going on behind the scenes, they’ll be in a much better position to fully trust and embrace these AI-driven changes.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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