A few years back, you would have not heard the word "scalable" in machine learning parlance. The reason was mainly attributed to the lack of infrastructure, data, and real-world application. Machine learning was being much talked about in the research community of academia or in well-funded industry research labs. A prototype of any real-world application using machine learning was considered a big feat and a demonstration of breakthrough research. However, time has changed ever since ...