Glassdoor recently published their “Best Jobs in America” for 2019 and it was no surprise that data scientists topped the list for the fourth year in a row. Almost every industry utilizes data in some form to build a more efficient business model, and that trend does not seem to be slowing down.

Since time immemorial, farmers across the world have depended mainly on rain-fed agriculture in their activities. This has significantly affected production due to climate change and unpredictable environmental or weather patterns. Consequently, the sector which was the backbone of many countries has continually experienced dwindling fortunes not only for the farmers but also for the economies which depended on agriculture as the main contributor to the GDP. Technology is beginning to offer solutions to many problems that have haunted the agriculture sector.

Unless you’ve spent the past few years on a beach with no internet, you know that AI and IoT are the way of the future. Organizations are brainstorming ways to join the party, and they’re coming up with fantastic ideas.

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.