We have prepared the list for Top 10 Technology trends of 2019 for you . Hope you find it worth reading. The list containing Top 10 Technology trends of 2019 is created by considering the fact that our readers are technology lovers.
We all are living in a world where we are surrounded by the technologies. Infact, we are in a habit of making use of latest technologies. These latest technologies does not only bring revolution but also change the way we live our life. As the technology evolves it brings rapid changes and progress in our lives.
It is necessary for the people associated with technology to be updated with the evolving technologies and should learn constantly. As technology is evolving, we need to be evolve with time as well.
The below presented list is important for the people working in technology or technology lovers but it is also highly important for the people who are yet to start their career in technology era.
Here is a list of top trending technologies of 2019 which are making a positive and huge impact in our society:
1. Artificial Intelligence
The list of Top 10 Technology trends of 2019 cannot be started without discussing about most trending technology , AI. From self driven cars to SIRI, we have seen tremendous growth in the field of artificial intelligence. Over the next five years, we are about to see the world we live in will be strongly changed by AI. People are using AI assistants in their home which reflects how deeply the AI has penetrated in our society.
Vision of this technology is definitely to increase the work efficiency and performance by making the machines intelligent but by replacing the humans with machine. Mission of this technology seems to make a machine driven world.
Transportation industry is using AI now a days and will certainly witness a strong future in AI. Uber and Lyft are using self driving technology. Tesla has already started self driven cars hand has done experiment over it.
Artificial Intelligence is everywhere today from smartphones to home assistants and growing rapidly with high acceleration. It will strongly impact the future of our lives. Artificial Intelligence is bringing automation and which in turn also creating jobs to monitor the way technology will run.
There are various programming language used in artificial intelligence research such as Python, Java, LISP and Prolog. You can choose any language as per your requirement.
Python with LISP is most widely used by programmers in AI.
Machine Learning technology enables machine to learn as per program and give output as per need of the programmer. They learn by identifying patterns and insights from data. AI is the superset of machine learning. Machine learning enables machine to learn on its own without any external program or algorithm. It is programmed with various algorithms, which allows the machine to learn from the new data.
The set of algorithms , designed for machine learning process , predicts the accurate output of the new input data. The fundamental premise of machine learning is to build algorithms which could get hold of entered information and use statistical analysis to predict an output also updating outputs as new statistics becomes available .
The basic tasks of machine leaning involves :
- data mining.
- predictive modelling.
Basic example of machine learning is : when you are seeing ads on any e-commerce website that are as per your preferences.
It happens because, with the help of machine learning, your preferences can be predicted by machine as per the input / data received from your side on the social media, e-commerce website etc.
There are basically two types of machine learning algorithms exists :
- Supervised learning.
- Unsupervised learning.
This technology should be on your “things to learn in 2019” to-do list.
As this technology is the subset of AI and it is built upon AI so programming language remains same as of AI but in addition person should have good analytical skills.
Additionally, Linear Algebra, Probability & Statistics, Multivariable Calculus knowledge is required.
3.Big Data and Hadoop
Any huge collection of data, whether or not it is categorized or structured is collectively called Big Data. This data can be used for analysis to get different types of results or predictions using some specific analysis tools like Hadoop.
Big Data analytics is the process of collecting, organizing and analysis large set of data.
Data is always being generated by digital technologies, whether we are using apps on our phones, interacting on our social media, or shopping for products. All of this information combines with other data sources and becomes Big Data.
There are billions of gigabytes of data being generated every single day by people and technologies all around the world.
Companies also combine Big Data with technologies like Machine Learning and Artificial Intelligence to further improve their ability to enhance our daily lives with faster, more personalized experiences.
Knowledge of linux env is required and basic programming skills would do good.
4.VR (Virtual Reality)
Virtual reality is one of the most discussed technical topics for 2018 and it is maintaining the same momentum in 2019 too. This technology brings a various career opportunity in the year 2019.
Virtual reality is a experience of feeling the things virtually that actually does not exist. This process convinces the brain to believe the vitual things to be reality. The literal definition for VR could be “It actually makes it possible to experience some thing anywhere, anytime.”
Virtual Reality can be used in various applications including :training, entertainment sector, education system, marketing, and even rehabilitation after an injury.
Example of VR : The popular game Pokemon Go is built upon Virtual Reality.
Some applications of VR :
- Tracking Balls
- Motion Trackers/Bodysuits
- Data Gloves
- On-Device Control Buttons
There are very less experts of this technology in market, but demand is high and it keeps increasing. So if you are yet to start your career or you want to switch from ordinary skills to expert in the market then learning this technology will help as great.
Strong knowledge of C++ is required for this technology, But if a person desire to learn this technology, then there is no barrier in the learning, basic knowledge of programming would do good.
Cyber security is becoming a primary need now a days. As technology is evolving, it is being highly dependent upon cyber / internet and at the same time cyber threat is also getting increased.
Cyber security is an emerging technology and it will constantly evolve by the time to secure cyber data against hackers.
Good news is that the number of cyber security jobs are growing 3 times faster than other technical jobs. but, we’re falling short in terms of filling the jobs. As a end result, it’s expected that we can have three to five million unfilled cybersecurity jobs via 2021.
To learn this technology, analytical and basic programming skills are required.
6.IOT (Internet of Things)
IoT connects the physical world to the internet. This is the future of the technology. Internet of Things(IoT) technology is useful for various industries. It is evolving day by day.
IOT works as a medium between millions of physical devices and the internet . Internet of things (Iot) is a system of interrelated computing devices, mechanical and digital machines, objects or people that are provided with distinct identifiers and ability to transfer data over the network.
Hence IoT technology is often called as “Intelligent System of Systems”.
This technology is not new, but has been attracting more attention through changing your life in new ways towards convenience and comfort.
Internet of Things (IOT) Sectors
The IOT will affect many areas of day to day life. Some of the main sectors are:
- Health medical
- Fitness and wellness
- factory and industry
- Cars and roads
Edge computing is a distributed computing paradigm which brings computer information storage in the direction of the location in which it is wanted. Computation is largely or completely achieved on distributed tool nodes.
Edge computing is a distributed and open IT architecture that features decentralised processing power, enabling mobile computing and Internet of Things (IoT) technologies. In edge computing, data is processed by the device itself or by a local computer or server, rather than being transmitted to a data centre.
Knowledge of linux env is required and basic programming skills would do good.
A blockchain is a decentralized, allotted and public digital ledger that is used to report transactions throughout many computer systems so that the document can’t be altered retroactively with out the alteration of all next blocks and the consensus of the community. This lets in the individuals to verify and audit transactions inexpensively.
A blockchain database is controlled autonomously the usage of a peer-to-peer network and a allotted timestamping server. they are authenticated with the aid of mass collaboration powered through collective self-hobbies.The resultis a strong workflow in which participants’ uncertainty regarding information protection is marginal.
The usage of a blockchain removes the function of infinite reproducibility from a digital asset. It confirms that eachunit of value changed into transferred only once, fixing the long–standing trouble of double spending.
Blockchains were defined as a fee–exchange protocol. This blockchain-based trade of value may be finished faster, more secure and cheaper than with conventional structures.A blockchain can assign name rights due to the fact, when properly set up to element the exchange agreement, it offers a record that compels offer and recognition.
basic programming skills would do good. Java and C++ is widely used by BlockChain developers.
Intelligent apps are programs that use historical and real-time records from person interactions and different sources to make predictions and recommendations, handing over personalised and adaptive consumer studies.
The following generation of cellular applications will be the end result of a couple of worlds colliding: whilst software improvement meets artificial intelligence, the net of things and huge statistics analytics, shrewd apps are the final results. placed certainly, these are apps that continually learn from person interactions and other information sources to grow to be even greater applicable and beneficial.
Some features of Intelligent Apps :
- Contextual and relevant
- Continuously adapting
Knowledge of AI and machine learning is required for this technology.
10.Robotic Process Automation or RPA
The list of Top 10 Technology trends of 2019 cannot be completed without discussing about most trending technology , RPA. Robotic Process Automation (RPA) is the usage of software with artificial intelligence (AI) and device studying talents to deal with excessive–extent, repeatable tasks that formerly required humans to carry out. these obligations can include queries, calculations and protection of information and transactions.
ChatBots , virtual agents are example of this technology.
Some of the applications of RPA include:
- Customer service
- Financial services
- Supply chain management
No advance programmings skills are required but basic SQL queries, loops, if-else conditions,logical knowledge will do good.
The above list contains Top 10 Technology trends of 2019 , Hope you find it worth.
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