Top 5 best technologies to learn in future. change is constant and in the rat race of success, staying on top is highly difficult with changes in technologies, it’s really hard to keep up with the trends and with so many technologies, deciding on which one is the best to learn is pretty hard.
Yeah!! I know perhaps you might have read a lot of these types of articles where people are trying to predict what changes will happen in the technology field but trust me this article is different from other articles?
Well, as you know technology is evolving with the speed of light so if you are looking for a career in the tech industry with the ambition to learn, then this article is for you. Top 5 best technologies to learn in future.
I would truly recommend you to focus on these 5 technologies.
Table of Contents
Artificial Intelligence
“Can a machine reason and act as humans do?
- “AI is the science of making smart machines, exclusively intelligent computer programs.”
– John McCarthy (father of Artificial Intelligence)
- It is accomplished by studying how human brain thinks and how humans learn or decide or work while trying to solve a problem. Top 5 best technologies to learn in future.
- And then it uses the product of this study as a foundation of developing intelligent software and systems.
- AI has been dominant in various fields such as Gaming, Natural Language Processing, Expert Systems, Vision, Doctors, Police, Speech Recognition, Handwriting Recognition etc.
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DevOps
“Not a technology, but a methodology.”
- DevOps, a methodology that ensures both development and operations go hand in hand. DevOps cycle is considered as an infinite loop representing the integration of developers and operation teams by automating structural workflows and continuously measuring application performance.
- It’s the combination of cultural philosophies, practices, and tools which help to increase an organization’s ability to deliver applications and services at high velocity
- It helps in evolving and improving products at a faster pace than organizations using traditional software development.
Big Data.
“Structured And Unstructured Data.”
- Big data is a term that defines the huge volume of both structured and unstructured data.
- Big data can be examined for insights that lead to better decisions and strategic business moves.
- Big data bring up the problems that are related with processing and storing different types of data.
- Almost every third company today is relying on big data analytics to gain huge insight about their customers, product researches, marketing initiatives etc.
- Guess who led Germany to win the world cup; yes you are right, to your surprise its big data who helped Germany to win the world cup. Top 5 best technologies to learn in future.
- Hadoop and Spark, the two well-known frameworks for solving Big Data problems.
RPA (Robotic Process Automation)
“RPA is software-based.”
- It’s the application of technology that allows employees in a company to configure computer softwares which work by replicating the actions of an actual human interacting with one or more software applications to perform tasks such as data entry, process standard transactions, or respond to simple customer service demands..
- It can be used to perform various tasks, including maintenance of records, queries, calculations, and transactions.
- Additionally, any application generally used by a company can be operated by RPA.
