Explore the Imagination

Technology is now evolving at such a rapid pace that annual predictions of trends can seem out-of-date before they even go live as a published blog post or article.

As technology evolves, it enables even faster change and progress, causing an acceleration of the rate of change, until eventually, it will become exponential. What does this mean for you? It means staying current with technology trends. And it means keeping your eyes on the future, to know which skills you’ll need to know and what types of jobs you want to be qualified to do. Therefore, we here brought you here some of the top trending technology trends that you should keep track of before the year ends.

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Cognitive Cloud Computing

Cognitive Cloud is an extended ecosystem of traditional Cloud and Cognitive Computing. It’s due to this, you can create Cognitive Computing applications and bring to the masses through cloud deployments. Cognitive computing is considered as the next big evolution in the IT industry. It converses in human language and helps experts in better decision making by understanding the complexities of Big Data. Its market size is expected to generate revenue of $13.8 billion by 2020 and is one of the top 10 trending technologies to consider this year. Big brands such as IBM, Google, Microsoft, Cisco have already started implementing this next-gen tech to gear up for the upcoming market.

Angular and React

Angular and React are JavaScript based Frameworks for creating modern web applications. Using React and Angular one can create a highly modular web app. So, you don’t need to go through a lot of changes in your code base for adding a new feature. Angular and React also allows you to create a native mobile application with the same JS, CSS & HTML knowledge. Best part – Open source library with highly active community support.

DevOps

This is the odd one out in the list. It is not a technology, but a methodology. DevOps is a methodology that ensures that both the development and operations go hand in hand. DevOps cycle is picturized as an infinite loop representing the integration of developers and operation teams by: automating infrastructure, workflows and continuously measuring application performance. How does it help? DevOps increases organizations’ capability to deliver high-quality solutions at a swift pace. Instead of releasing a large number of application features, companies are trying to see if a small number of features can be rolled-out to their customers through a series of release iterations. This has several advantages like better quality of software, quick feedback from customers, etc. which in turn ensures high customer satisfaction.

Intelligent Apps (I – Apps)

The next generation of mobile applications will be the result of multiple worlds colliding: when application development meets artificial intelligence, the Internet of Things and big data analytics, intelligent apps are the outcome. Put simply, these are apps that continually learn from user interactions and other data sources to become even more relevant and useful.

I-Apps are pieces of software written for mobile devices based on artificial intelligence and machine learning technology, aimed at making everyday tasks easier. This involves tasks like organizing and prioritizing emails, scheduling meetings, logging interactions, content, etc. Some familiar examples of I-Apps are Chatbots and virtual assistants. As these applications become more popular, they will come with the promise of jobs and fat paychecks.

Big Data

Big data refers to problems that are associated with processing and storing different types of data. Most of the companies today, rely on big data analytics to gain huge insight about their: customer, product research, marketing initiatives and many more. Speed of generation of data is tremendously fast like tracking locations of Billion Android phones simultaneously. If you can’t open the data file without freezing your computer and it’s not feasible to manually inspect the data, then it has started to get big enough. At a time, it requires more than the memory you have on your system, that you have to compress and store it. For your surprise, big data led Germany to win the world cup.

Hadoop and Spark are the two most famous frameworks for solving Big Data problems. If you already have some knowledge of Big Data, splendid! If not, now is the time to start.

From the November 2020 issue of FHM India.