Wednesday 15 May 2019

Top technology fields you should take in 2019 for a great career


The right technology can launch businesses to a higher level of performance and achievement. Thus, certain upcoming fields are growing very fast and can prove to be great career fields if one chooses to take up courses in the same.
In technology, the prospects look exciting and some unexpected trends arise while old-timers merge with each other to enhance the overall impact. This year, we expect exponential changes in every area of technology.
Machine learning and artificial intelligence will alter most industries, making way for virtual helpers and myriad cases for automatization. We see huge potential for smart homes and smart cities, through the implementation of the Internet of Things (IoT).
Here are 10 technology fields that will rise high in 2019
1. Artificial Intelligence
The idea behind AI is to mimic a human brain and to create a machine that has the power to think, analyses and make decisions of its own.
While we might think that AI is at least a few years away from causing any substantial effects on our lives, the fact remains that it is already having an enormous impact on us.
One of the biggest users of artificial intelligence is the online ad industry which uses AI not only to track user statistics but also serve our ads based on those statistics. 
2. DevOps
It is a software development strategy which bridges the gap between the Dev and Ops side of an organization, for seamless delivery of software. It was introduced because there were limitations in the traditional model.
There is a need to release small features more frequently and without DevOps it is not possible. To understand various DevOps tools, one needs to study the scripting language, infrastructure code etc.
3. Cybersecurity
With the rising cases of cyber threats, cybersecurity is a much-needed career field now.
Keeping in mind recent data breaches that have been committed in the tech industry, the Global Data Protection Regulations were revamped.
This has, in turn, resulted in an increase in demand for cybersecurity personnel who can cope with the changes and keep a company free of any sort of compliance issue.
4. Augmented Analytics
While some may call it augmented analytics, others may call it Smart Data Discover, but at its core, it involves the integration of BI and AI to automate the processes of finding data, preparing for analysis and generating insight.
The purpose here isn’t to replace the decision-making system, but to support it. One feature of augmented analytics that sets it apart from other technologies is its ability to carry out natural language generation which unpacks complex jargon and provides simple insights.
5. 5G Network
With much anticipation to roll out across the world in the coming years, 5G network is the latest iteration of cellular technology. This will be the next generation of mobile internet connectivity which is a combination of cutting-edge network technology and research. They offer faster speeds and more reliable connections on smartphones and other devices.
6. Autonomous Things
Autonomous Things take the advancement of Machine Learning a step further based on AI and IOT, to enable complex decision making autonomously in devices and objects. It can enhance any object in our surrounding to think and respond by themselves.
This technology will be commercially relevant technology in 2019 and envisions to make self-driven vehicles, drones and robots a common reality by 2020.
7. Digital Twins
A digital twin is an integrated multiphysics, multiscale, probabilistic simulation of an as-built vehicle or system that uses the best available physical models, sensor updates, fleet history etc. to mirror the life of its corresponding flying twin.
For example, how do you operate, maintain, or repair systems when you aren’t in physical proximity with them? That was a challenge NASA’s research department had to face when developing systems that would travel beyond the ability to see or monitor physically
This pairing of the physical and virtual worlds allows the analysis of data and monitoring of systems to head off problems even before they occur and plan using simulations.
8. Edge Computing
Edge computing is basically pushing the frontier of computing applications, data and services away from centralized nodes to the edge of a network. By moving data centres to the edge of the network closer to consumers, it speeds storage, processing, and analytics of data nearby, before sending it back to the centralized data centre. This ultimately drives better performance, faster response time and greater innovation.
9. Quantum Computing
Quantum computers can analyse large quantities of data and spot patterns quickly, they could tackle optimization problems for transportation and industry, advance climate modelling and boost artificial intelligence research one day.
Quantum computers are still in the experimental stage, but their raw potential is sure to cause a paradigm shift in computing physics and potentially our understanding of the world today.
10. Immersive Experience
Immersive experience basically integrates augmented reality and virtual reality. For example, what if we can create digital environments for a human to experience the impossible?
Through a mix of data science, artificial intelligence, and creativity, virtual and augmented reality offers an opportunity to train and plan in a safe environment, without consequences.
From battlefield simulations to hospital management scenarios, this technology better prepares a team for mission success.
To make a truly transportive experience, audiences crave the sensory richness we would find in the real world around us not only visually-but in the care and attention to sound, scale and the imagined world off-stage.

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