Business intelligence will move beyond dashboards, and AI and machine learning will become easier for less skilled workers as augmented analytics are embedded into platforms

"Enterprises struggling to get their data management and machine learning practices up to speed in an era of more and more data may be in for a nice surprise. After years of bending under the weight of more data, more need for insights, and a shortage of data science talent, augmented analytics is coming to the rescue. What's more, it could also help with putting machine learning into production, something that has been an issue for many enterprises..."

In the age of Big Data, you'll hear a lot of terms tossed around

"Three of the most commonly used are 'business intelligence,' 'data warehousing' and 'data analytics.' You may wonder, however, what distinguishes these three concepts from each other so let's take a look.

Business Intelligence (BI)

What differentiates business intelligence from the other two on the list is the idea of presentation. Business intelligence is primarily about how you take the insights you've developed from the use of analytics to produce action. BI tools include items like:..."

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