Deploying Machine Learning Pipelines for AI Use Cases BlueData

We all know that Artificial Intelligence (AI) is here to stay. We experience AI everywhere and enjoy its benefits without even realizing it. From streaming video services like Netflix, which learn our viewing behaviors and patterns so we spend our valuable time watching the shows we like best; to digital assistants like Amazon's Echo which can recognize speech patterns to follow our commands and answer our questions; to using AI-powered apps like Lyft or Google Maps to hail the closest ride or navigate around traffic and get from point A to point B, AI is now embedded in our daily lives. Each of these everyday consumer applications uses machine learning (ML) for their AI use cases. But it's not just the consumer technology giants and startups that are using ML technology to power AI-enabled applications; enterprises in virtually every industry are now exploring ML for a wide range of different AI use cases, ranging from fraud detection to medical diagnosis, stock market prediction, and autonomous driving to name just a few.