Why AI and Machine Learning Have Cases Outside of Cloud
Cloud computing has been a key part of the rise of AI, but as more organizations look to improve their capabilities, they're moving toward a hybrid approach that includes both cloud and edge computing. Since cloud computing is often thought of as another term for all-in-one solutions, you might wonder why companies want to move away from it at all. The fact is, there are many reasons why customers are choosing hybrid approaches over purely cloud-based architectures. AI Lurking in the Shadows You might not know it, but AI has been in the cloud for a long time. Amazon, Microsoft, Google and other cloud providers have been offering machine learning services as a service (SaaS) for years. These services make it easy for developers to build applications that use machine learning models without having to worry about how those models are trained or implemented. For example, if you want to build an e-commerce site that recommend...