With the rise of big data comes an increase of concern over data privacy. It’s no surprise that apps such as Facebook and Google, monitor your search histories and offer you advertisements based on content you’ve explored on the internet. While the companies who observe your search habits want you to think it’s just a coincidence, a majority of society has smartened up, taking matters into their own hands by limiting the amount of private data that a company can obtain.

In last week’s article we discussed five diverse characters in television and film that didn’t necessarily fit Hollywood’s stereotype of what a data scientist looks and acts like. While many hacker and data analyst roles are portrayed by white actors and actresses who are nerdy and/or computer geniuses that’s not the case in everyday society. The data industry is made up of men and women of all different races, ethnicities, and sexualities, so today we are continuing to celebrate characters that don’t fit Hollywood’s typical mold.

Ever since the invention of computers many developments have shaped human lives. The invention of the internet was a landmark achievement which set up the stage for more things that followed. Many would have thought that the internet was the biggest thing ever but it was only a lead-in to developments in the world of big data, AI and IoT.  Big data, AI and IoT have revolutionized the world we live in but what exactly are these terms?

The concept of big data has been around for a number of years. However, businesses now make use of big data analytics to uncover trends and gain insights for immediate actions. Big Data Analytics are complex processes involved in examining large and varied data set to uncover information such as unknown correlations, market trends, hidden patterns, and customer’s preferences in order to make informed business decisions.