During a random talk with a friend of mine, I was told an observation that most of the well-known Hollywood personalities are born between the month of April and July. Th...
Everyone gets sunk by office politics at some point in their career, but data scientists are in some ways especially ill-prepared to navigate the unspoken rules and hi...
Summary: Quantum computing is already being used in deep learning and promises dramatic reductions in processing time and resource utilization to train even the most co...
Background I heard about The Mathematical Corporation: Where Machine Intelligence and Human … by Josh Sullivan and Angela Zutavern through a tweet by Kirk Bourne....
Technology always takes a dominant position in economy and society. Millions of people therefore found their careers, and many others have even dived into a completely di...
In 2017, the Robotic Process Automation / RPA market has matured. Learning from the evolution of RPA, in this post, we explore the wider implications for Enterprise AI ...
Technology has remarkably changed the way we live today, there is no denial to it. Compared with our ancestors, we stand far away from them in using different technologie...
Summary: If you are mid-career and thinking about switching into data science here are some things to think about in planning your journey. We get lots of inquiries fro...
Big Data, Data Analytics, Data Science – all these terms make a noise in the world! Here are a few examples to clarify the difference and avoid messing them up: Goo...
This article was written by Tim O’Reilly. Source for picture: The Onion There are many signals of likely truth or falsity that can be verified algorithmically by a...