The Future Of Tech Is Highly Impacted By Trending Technologies

By Jyoti Nigania |Email | Apr 4, 2019 | 3096 Views

This video will introduce you to all the popular and trending technologies in the market. These are the trending technologies that you need to watch and learn in order to make a good career in the upcoming year of 2019.

Following are the top ten technologies in 2019:
Augmented Analytics:
Some call it Augmented Analytics, others call it Smart Data Discover, but at its core, it involves the integration of BI with AI to automate the processes of finding data, preparing it for analysis and generating insights. It identifies trends and explains what these practices mean for business through clear visualizations and neatly packaged trends. 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. Users can also go beyond opinion and bias to get real insight and act on data quickly and accurately. Ultimately, Augmented Analytics will strip out the dull, robotic processes involved in BI and empower employees to focus on being human.

5G network:
5G networks are the latest iteration of cellular technology which is also one of the much-anticipated tech expected to roll out across the world in the coming up years. With A combination of cutting-edge network technology and research on the present trends, these networks are the next generation of mobile internet connectivity, offering faster speeds and more reliable connections on smartphones and other devices than ever before. These networks will give a good kick start to the in the Internet of Things technology, with an average download speed of around 20GBps. This makes enormous amounts of companies investing in R&D to work on the development of 5G.

Autonomous Things:
Today, intelligent behavior can be replicated and even the non-living can be empowered with self-capable features. Based on AI and IoT, Autonomous Things, take the advances of Machine Learning a step further in the technology development spectrum, to enable complex decision making autonomously in devices and objects. It's a technology that can enhance any object in our surrounding to think and respond by themselves. Sounds too good to be true, doesn't it? But that is exactly what makes learning it so important. Being equipped with such technology will enable you to design marvels that'll seem too good to be true. So, believe me when I say that Autonomous Things will definitely be a commercially relevant technology in 2019 and it envisions to make autonomous self-driven vehicles, drones and robots a common reality by 2020.

DevOps:
Well, again it is not a technology it is a methodology. 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 a lot of limitations to the traditional waterfall model. There is a need to release small features more frequently and without DevOps, it is not possible. What should you exactly study? Well, you need to study scripting language, you need to understand various DevOps tools and technologies, you need to understand DevOps concepts such as Infrastructure as Code, Continuous Integration and Delivery pipelines, etc. Is a market leader in providing DevOps Training, go ahead and check out their course content.

Cybersecurity:
Keeping recent data breaches that have been committed by the tech-industry bigwigs the Global Data Protection Regulations were revamped. This has resulted in an increase in the demand for cybersecurity personnel who can cope with all these changes and keep a company free of any sort of compliance issue. Regardless of recent events, Cybersecurity is an evergreen field because new and more creative attacks are being formulated every day and working professionals are kept on their toes as they are burdened with the responsibility of constantly updating themselves faster than the attacker so that any sort of compromise in security can be mitigated with ease. Keep yourself well versed with the fundamentals of Digital Communication, Networking and Risk Analysis to land yourself a job. Jobs related to compliance including positions like a senior analyst and compliance officer are thriving and offering salaries that will make your pockets jingling with money.

Digital Twins:
While the concept of a digital twin has been around since 2002, it's only thanks to the Internet of Things (IoT) that it has become cost-effective to implement. 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. Let me give you an example, how do you operate, maintain, or repair systems when you aren't within physical proximity to them? That was the 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 virtual and physical worlds allows analysis of data and monitoring of systems to head off problems before they even occur, prevent downtime, develop new opportunities and even plan for the future by using simulations. By 2018, companies who invest in digital twin technology will see a 30 percent improvement in cycle times of critical processes, predicts IDC.

Edge Computing:
Today's billions of devices are producing data at an explosive pace, stressing the limits of modern data centers and networks. To tackle these challenge organizations are taking pressure off their centralized data center 's(DC) through edge computing solutions. Edge Computing basically is pushing the frontier of computing applications, data, and services away from centralized nodes to the edge of a network. By moving data-centers to the edge of the network closer to consumers, it speeds storage, processing, and analysis of data nearby, before sending it back to the centralized data center. This ultimately drives better performance, faster response times and greater innovation. Then you look around the internet, you will find many studies predicting the rise of edge computing, for example - Gartner, in a report, predicted that edge computing will be a necessary requirement for all digital businesses by 2022. As edge computing takes off, it is important to understand other technologies that edge devices are involved with.

Quantum Computing:
Quantum computer is new kinds of machines that promise an exponential growth spurt in processing power, capable of tackling problems our computers today can't solve. Over 50 years of advances in mathematics, materials science, and computer science have transformed quantum computing from theory to reality. The operating system of nature is quantum mechanics. If you want to simulate a quantum system, you need something that can do it quantum mechanically. That's the kind of problem that a quantum computer can solve. Tech giants like IBM and Google and startups like Righetti Computing are all in something of a scientific race to building the first universal quantum computer. Because quantum computers can analyze large quantities of data & spot patterns quickly, they could tackle optimization problems for transportation and industry, advance climate modeling and boost artificial intelligence research one day.
Quantum computers are still in the experimental stage, but their raw potential and imminent arrival are sure to cause a paradigm shift in computing physics, and potentially our understanding of the world we live in today.

Artificial Intelligence:
Well, I am pretty sure you guys already know a bit about Artificial Intelligence. As science fiction starts to become reality, AI products are slowly infiltrating homes and workplaces. The development of Artificial Intelligence has been going on for a decade. However, it was first introduced in the year 1952 by John Mccarthy. So the idea behind Artificial Intelligence is to mimic a human brain. To create a machine that has the power to think, analyze and make decisions on its own. So that's what basically Artificial Intelligence is. And most of the technologies that we have discussed, in this list are somehow related to Artificial Intelligence and the Internet of Things and even Big Data.

Immersive Experience:
Immersive Experience basically integrates both Augmented Reality and Virtual Reality. Yes, I am talking about something like the movie Matrix. What if I tell you we can create digital environments for humans to experience the impossible. Through a mix of data science, artificial intelligence, and creativity, virtual and augmented reality offers the opportunity to train and plan in a safe environment, without consequences. From battlefield simulations to hospital management scenarios, this technology better prepares teams 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."

All this can be done with a strong foothold on concepts of data science and artificial intelligence. Various people from teams such as Artificial Intelligence and Data Handling experts are required to collaborate to achieve the overall goal at hand. Hence, this ensures immense pay in the next set of months due to the sheer concepts and vast applications.

Source: HOB