Data is powering this century. There is an abundance of data coming from the digitized world, IoT devices, voice assistants like Alexa & Siri, fitness tracker, medical sensors to name a few. Data Science is becoming the center of growth hustling sectors like healthcare, logistics, customer service, banking, finance., etc.
Deploying and maintaining Machine Learning models at scale is one of the most pressing challenges faced by organizations today. Machine Learning workflow which includes Training, Building and Deploying machine learning models can be a long process with many roadblocks along the way. Many data science projects don’t make it to
Artificial Intelligence is slowly becoming our norm with Alexa and Siri acting on our commands, Uber and Lyft driving us around and Netflix and Amazon lounging in our entertainment arena. Even with the growing adoption across various sectors, enterprises are finding it hard to build AI projects aligning with business
Why Cloud? Cloud Computing, which means storing and accessing the data and programs over the internet instead of your physical hard drives. Which means you have to move your data over low-cost computers provides high availability networks to access your data and work with that. This helps you to reduce
Enterprises of today are having to deal with ever-increasing size of data sources and variety of data, putting greater emphasis on the need for a comprehensive and robust data flow management. The primary goal of a data flow management tool is to provide reliable movement and delivery of data from