Top IT Trends to look out for in 2017

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Jan
16
2017
  • Author:
  • Saranya Balachandran

Top IT Trends of 2017

It’s that time of the year where forecasts gain momentum and educated guesses dominate headlines. With our lives becoming increasingly intertwined with devices, technology is definitely evolving. The coming year is poised to create several landmark trends that will be the hallmark for future technological advances. Here’s a list of top IT Trends to look out for in 2017!

Automation

Automation is everywhere. More and more jobs are poised to get automated, with prototypes of a human-free store already in development. Particularly, the customer services industry will see more automation, partly because of advances in Artificial Intelligence (AI), enabling more human-friendly chat-bots. This serves to reduce costs both directly and indirectly and saves time.

Augmented Reality (AR)

If Virtual Reality (VR) was a trend a few years ago, 2016 saw the rise of Augmented Reality (AR), and 2017 will carry this trend forward. AR blurs the difference between the real and the virtual world, thereby creating a more immersive experience.
If the success of Pokémon Go is anything to go by, it is a certain giveaway that the world is ready for AR in mainstream industries.

Primarily limited to the gaming industry in the past, AR capabilities are now being explored and found to be easier to implement than ever before. In 2017, we expect this technology to flourish amongst the mainstream audience across several industries.

Internet of Things (IoT)

The buzz surrounding the Internet of Things (IoT) has been active for quite a while now.
In layman terms, IoT simply means increased machine-to-machine communication. Built on networks of data-gathering sensors, it enables mobile, virtual, and instantaneous connection.
Apparently, IoT is going to make everything in our lives “smart.”

We might see a paradigm shift from where manufacturers focused on creating a centralized smart hub to where manufacturers focus on interoperability between devices, so that devices can connect better. That way, more complex, smart procedures can be carried out.

3D Printing

A technology that allows you to take your ideas from concept to creation, 3D Printing is here to stay! Although it is still in its nascent stages of taking off and is always spoken about as a futuristic mainstay, it has existed around as a concept for the last two decades.

The appetite for 3D printing is all set to grow in 2017. In fact, it can be said that 2017 will be a breakout year for 3D printing technologies!

HP has launched their first multi-jet fusion machines in the 3D printing arena. This is a baby step toward a larger technological revolution in this direction.

Deep Learning

An offshoot of machine learning, deep learning is a concept that every industry is awakening to.
Helping computers make sense of data silos and arrive at intelligent decisions, deep learning has in fact been proven to assist and enhance Google’s core search engine algorithm.

Deep learning is electrifying the computing industry so much so that companies like Microsoft Research are already integrating deep learning into their own day-to-day processes. Using neural nets to identify prospective buyers and provide recommendations based on their past preferences, deep learning is indeed taking center stage in 2017!

Big Data

A term used to describe volumes of structured and unstructured data, big data can be analyzed for gaining improved insights and making strategic business decisions. From planning better medical treatment to carrying out better marketing campaigns, big data can create and therefore form the cornerstone of successful business.

By navigating and analyzing scores of data, it is easier for companies to offer more precisely tailored products or services. Therefore, in 2017, big data will be at the frontier for innovation and productivity.

Predictive analytics

To increase their competitive advantage, organizations are looking in the direction of predictive analytics. Identifying a pattern from incredible amount of data using the right statistical models, predictive analytics allows organizations to gain insights and make predictions.

Fraud detection and optimization of marketing campaigns is now possible through predictive analytics that uses techniques such as data mining and machine learning to analyze current data to make predictions about future.

Bimodal IT

‘In today’s highly competitive world where change is the only constant, it is important for organizations to adapt themselves to change. Enterprises must brace themselves to operate in two essential modes, known as Bimodal IT. This is the only way forward if organizations are looking to innovate alongside carrying out regular operational functions.

Reacting to the growing needs of digitization, organizations have to turn their agile mode on, all along not losing sight of their traditional development practices. Basically, it calls for two parallel tracks that seek innovations with stability simultaneously.

Cloud Computing

With the swift development of technologies, the risk of a security breach has also increased.
Data security is therefore becoming an increasingly large area of concern in today’s context. To rise to the challenge of data protection and privacy, cloud technology has been gaining significant ground.

As encryption methods become more sophisticated, companies would move toward storing data centrally on the cloud rather than a physical location or server. 2017 will witness organizations getting rid of on-premises infrastructure.

Organizational Disruption

Almost earning a tag as the ‘new normal’, business disruption has been in the news for a long time as a regular feature. With the rapid advancement of technology and globalization being the primary cause of organizational disruption, new business models are evolving at a rapid pace.

Digitization is going to be a significant aspect of every forward-looking organization in 2017. Therefore, every organization is going to be disrupted by digital forces for which it needs to be equipped to recognize, prioritize, and respond at the speed of digital change.

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