I'm going to put my geek hat on for a bit. Over the course of the last couple of months I've been exploring semantic modeling from the standpoint of "context-free" design - where I've been looking for patterns that seem to hold true regardless of what the data topic itself. One pattern that I feel comfortable now identifying is "The Rule of One", or put another way "Ted Codd was right".
Software development is a tricky business that requires several revisions. It also takes a lot of modelling, ideation and experiments before deciding upon a sophisticated code, that will make up an app.
Machine Learning is supplanting both Big Data and Data Scientist as marketing buzzwords, and as is typical, as it gains in popularity it also loses whatever more precise meaning that it had before. People tend to talk about machine learning without necessarily knowing precisely is being described, and see it as its own whole, separate discipline rather than being simply one aspect of a complex graph of related technologies.
During the day, I spend a lot of time researching online. I may be looking for coding tips on articles I'm writing for my programming columns. I may see something on Facebook or LinkedIn that I'd like to reference for articles on futurist issues, or politics, or industry trends. I may come across a reference image or detailed information about a place for the novels that I write. Anyone who writes regularly likely also spends a significant amount of time finding and compiling such resources.
The financial spectrum is widely complex with a plethora of factors influencing each other. More data scientists are entering the banking field developing sophisticated models. Today, deep learning has come to play an integral role in many phases of the financial ecosystem from portfolio construction to cyber security.
Are you worried about the security of your website? Trust me, you are not alone, most businesses fear hackers, that's why they are consistently improving their cyber security to stay competitive. This allows customers to get a convenient browsing experience without getting worried about their data.
Beyond big data analysis lies an innovation known as cognitive analysis, which is capable of providing insights with minimum human support.