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The role of data visualization in communicating the complex insights hidden inside data is vital. This is becoming more and more important since the audience for data visualizations is also expanding along with the size of data.

Discovering patterns from data by employing intelligent algorithms is generally the core concept of machine learning. These discoveries often lead to actionable insights,

We still live in a world where majority of the decisions are made based on intuition and assumptions. As a race, humanity has been doing just fine with them, but why be fine when we can be better? Big data is being talked about by everyone these days.

With the massive amounts of data being created on the web every day, the internet has transformed into a huge repository of endless information.

Movies can sometimes be ahead of their time. Hollywood has always been thinking out of the box and coming up with movies based on futuristic technology with all those sci-fi thrillers.

Consumer electronics giant Samsung revealed that it has made a deal with Auto-tech firm Harman International Industries to take over their business including all the brands that they own.

Today’s sophisticated Voice Assistants could be easily mistaken for something straight out of Netflix’s Black Mirror TV series. Back in 2005, the best smartphone could simply speak the time in a thick ‘robot accent’.

Customers, irrespective of the industry and market are now bombarded with numerous advertisements from all media platforms along with generic marketing emails. This has taken a toll on the trust levels of the customers while also making them blind to most if not all such communications. This has marked the end of generic non-targeted marketing although this is still in practice at many companies.

The humongous amounts of data available today is almost causing an information overload for anyone venturing into its analyses. This trend seems to be going nowhere since the data is only growing in size over time.