Gartner 2015 Hype Cycle: Big Data is Out, Machine Learning is in Posted on : Sep 03 - 2015

Gartner, the leading market and technology research firm, has published its 2015 Hype Cycle Report of Emerging technologies.

What's the Hype Cycle about?

As technology advances, we all get over-excited about new buzz-words & trends in technology and then disappointed when expectations of results go down. Some of these emerging technologies do make tremendous changes and a huge shift.

The hype cycle gives us an idea of which of these technologies actually survive the market hype and have a potential to become a part of our daily life. The special report on emerging technologies is based on the assessment of maturity, duration for adoption, business benefit and future direction of more than 2,000 technologies, grouped into 112 areas.

Five regions of Gartner's Hype cycle: Innovation Trigger(potential technology breakthrough kicks off), Peak of Inflated Expectations(Success stories through early publicity), Trough of Disillusionment( waning interest), Slope of Enlightenment (2nd & 3rd generation products appear) and Plateau of Productivity (Mainstream adoption starts).

Here are some of the key Big Data-related technologies:

Autonomous vehicles, their placement is shown to have shifted from pre-peak 2014 to peak 2015 of the Hype Cycle. According to Gartner, "while autonomous vehicles(like driverless cars) are still embryonic, this movement still represents a significant advancement, with all major automotive companies putting autonomous vehicles on their near-term roadmaps".

Internet of Things (Network of Intelligent objects around us coordinating activities) remains consistently almost at the Peak in both years. It is thought of as the most disruptive technology in decades once widely deployed.

Natural Language Process Question Answering, last year’s winner, is on its slide down to the Trough. It may not make it through.

Big data is no where to be seen the hype cycle 2015 where as last year it is shown to enter trough of disillusionment. This may mean that the most talked about big data related technologies are now into practice and no more a hype. View more