Unleashing the Power of MLOps and DataOps in Data Science - KDnuggets

Data is overwhelming, and so is the science of mining, analyzing, and delivering it for real-time consumption. No matter how much data is good for business, it is still vulnerable to putting the privacy of millions of users at unimaginable risk. That is exactly why there is a sudden inclination towards more automated processes. In the past year, enterprises sticking to conventional analytics have realized that they will not survive any longer without a makeover. For example, enterprises are experimenting with micro-databases, each storing master data for a particular business entity only.