Most important future IT trends

As per, Gartner's Hype Cycle for Emerging Technologies report,

 

·        Big Data

·        3D Printing

·        Activity streams

·        Internet TV

·        Near Field Communication (NFC) payment

·        Cloud computing:

the cloud is “a vast network of low-cost, high-availability computing resources.”  Thousands of businesses are making the switch from on-premise to the cloud.

According to recent research, almost 60% of companies are already in the cloud and an additional 20% are planning to do so within the next 12 months

Benefits:

• Reduced costs by only paying for the resources you consume

• Increased protection against computing failures and network outages

• Flexibility and scalability, so you don’t have to purchase hardware that you won’t use

• Helps you go green by lowering carbon emissions and the use of electricity and infrastructure

• Increased speed

• Helps you gain a competitive advantage by “innovating, collaborating and experimenting at a low cost.”

·        Media Tablets

·        In memory computing : In-memory technology replaces conventional data storage, which – being row-based and organized in silos – relies on structured data. In-memory therefore acts as a enabler for cloud computing, big data analytics, and mobile applications.

o   In-memory database management systems

o   In-memory analytics

·        Mobile IT

·        Social analytics

·        Bring your own device (BYOD)

·        Autonomous vehicles

·        Mobile robots

·        Internet of Things

·        Wireless power

·        Complex-event processing:

It starts with the three Vs of big data. Most of the discussion is centered around the first V, Volume. Finding the best way to store terabytes, or even exabytes, of data is a thorny question.

Historical data is just the first building block of a big data strategy. Having a strategy to deal with the velocity and the variety of your data are key to becoming a real-time enterprise. Thats where Complex Event Processing (CEP) comes in.

A CEP Engine combines information from a variety of sources. It looks for patterns in these event streams and then responds in real-time. You could have a number of streams of information coming from employees, machines, or customers. Tying all of this incoming data together allows you to find complex patterns across different channels. Once a pattern is recognized the system can trigger a response.

·        Home health monitoring and consumer telematics

·        Silicon anode batteries

·        Text analytics and predictive analytics

·        Audio mining

·        Human augmentation

·        Volumetric and holographic displays

·        Automatic content recognition

·        Natural-language question answering

·        Speech-to-speech translation

·        Gamification

·        Augmented reality

·        Gesture control,

·        Virtual worlds,

·        Biometric authentication methods and speech recognition

Hadoop :

Hadoop was born out of a need to process big data, as the amount of generated data continued to rapidly increase. As the Web generated more and more information, it was becoming quite challenging to index the content, so Google created MapReduce in 2004, then Yahoo! created Hadoop as a way to implement the MapReduce function. Hadoop is now an open-source Apache implementation project.

Overall, Hadoop enables applications to work with huge amounts of data stored on various servers. Hadoop’s functions allow the existing data to be pulled from various places (since now, data is not centralized, but distributed in places using cloud technology) and use the MapReduce technology to push the query code and run a proper analysis, therefore returning the desired results.