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Are you an IT employee? Adapt to these future IT trends to stay insulated from industry slump

Over the next five years the focus will be on mixed reality, which is emerging as the immersive experience of choice, where the user interacts with digital and real-world objects while maintaining a presence in the physical world

October 10, 2017 / 11:38 AM IST

Information Technology is an ever-changing space. Everyone working in this dynamic industry must be abreast with the evolving trends. Currently, the industry is facing a challenge of job losses due to automation and this pronounces the need for quick adaptation for IT employees to avoid redundancy.

A report by Gartner has identified how the industry will shape up in the future. Here are eight IT industry trends that are worth following and adapting to in 2018:

Artificial Intelligence (AI): As industries try to look for cost-cutting and faster production, routine jobs are slated to be consumed by AI. “The ability to use AI to enhance decision making, reinvent business models and ecosystems, and remake the customer experience will drive the payoff for digital initiatives through 2025,” says the report by Gartner.

Intelligent apps: It is expected that AI will play a role in every app coming in the future at some level. There are already plenty of applications using machine learning and making decisions based on user habits.

Intelligent things: It is not just apps or industries which are going to benefit from the AI boom. Machine learning and AI has seeped into our homes. These things, such as smart camera, or an oven, operate semi-autonomously or autonomously in an unsupervised environment for a set amount of time to complete a particular task. It will not be far-fetching to say that soon these smart devices will work in conjugation with each other without any human interference.

Digital twin: This is not a new concept. A digital twin is a digital representation of a real-world entity or system. Space agencies and militaries across the world have been doing exercises in a simulated environment for decades. Well, it is going to get bigger now.

With an estimated 21 billion connected sensors and endpoints by 2020, digital twins will exist for billions of things in the near future.

Edge computing: It describes a computing topology in which information processing, content collection and delivery are placed closer to the sources of this information. This allows mitigating connectivity and latency challenges and bandwidth constraints associated with cloud computing.

Voice-based platforms: One in every five searches made with the Google Android App in the United States is a voice search. With many more devices getting responsive to voices, this field is set to get bigger. It is not very far when we will be using conversational platforms to conduct complex tasks such as collecting oral testimony from crime witnesses and acting on that information by creating a sketch of the suspect’s face based on the testimony.

AR and VR: Augmented reality and virtual reality combined with conversational platforms are going to shift the world into an altogether different era. “Over the next five years the focus will be on mixed reality, which is emerging as the immersive experience of choice, where the user interacts with digital and real-world objects while maintaining a presence in the physical world,” says the Gartner report.

Blockchain: With everything going digital, even currencies, blockchain has emerged as a force to reckon with. The blockchain is a shared, distributed, decentralised and tokenised ledger that removes business friction by being independent of individual applications or participants. It allows untrusted parties to exchange commercial transactions. However, blockchain technologies are immature and unproven and are largely unregulated hence provide a business opportunity.

Besides these, tasks like detection of digital business moments and a secure environment to do so are themselves evolving into new fields.

Tags: #Business #IT
first published: Oct 10, 2017 11:37 am

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