Top Trending Software Technologies in 2019

In this post you will know Top Trending and Feature Software Technologies. The following are the Top Technologies.

   1. Artificial Intelligence :
        AI refers to computers systems built to mimic human intelligence and perform tasks such as recognition of images, speech or patterns and decision making. AI can do these tasks faster and more accurately than humans.The number of jobs in AI will number 23 million by 2020.

  2.  Machine Learning :

        

Machine Learning is a subset of AI. The Machine Learning market is expected to grow to $8.81 billion by 2022. In 2017, the median salary for a machine learning engineer was $106,225. Machine Learning jobs include engineers, developers, researchers, and data scientists.

3.     Blockchain Technology :

        

In the simplest of terms, it can be described as data you can only add to, not take away from or change. The term “chain” because you’re making a chain of data. Not being able to change the previous blocks is what makes it so secure. Mostly related to cryptocurrency. The average yearly salary of a block-chain developer is about $130,000.

4. Virtual and Augmented Reality

Augmented reality (AR) adds digital elements to a live view often by using the camera on a smartphone. Examples of augmented reality experiences include Snapchat lenses and the game Pokemon Go.

5. Cyber Security:

This is a big one. In 2018, there have been quite a few huge hacks: Quora, Facebook, and Marriott. In the case of the last one, the data of approximately 500 million users were exposed – how bad does it sound?

There is a controversy about the state of the cybersecurity. Some people claim that companies need to have stricter punishments for the breaches or they should implement better security practices. However, as one of the engineers from Silicon Valley says, Google and Facebook have some of the best security teams in the world. So how can the problem of cybersecurity be fixed?

In its report, Wipro names Machine Learning & AI and Security Design & Architecture to be the top two security competencies for the upcoming years. As well, the company emphasized the importance of focusing on the following areas of cybersecurity:

6. Internet of Things :

    The number of IoT devices reached 8.4 billion in 2017 is and expected to reach 30 billion devices by 2020.Thus, as number of devices increase, the jobs will also increase.

Top 5 Technologies to learn in 2019

In this post you will know the best programming languages/technologies should learn in 2019 to survive in IT industry with high Package.In present IT,it is very difficult to determine one particular technology as the best among others,because everyday is a evolution in computing and every single paves a way for a new technology.

But,according to the present job scenario and stack overflow popularity,the below technologies have good growing opportunities:

1. Artificial Intelligence:

It covers technologies that are used for prediction purpose.The technology stack of AI constitutes

Machine Learning

Deep Learning

Computer Vision

Human Computer Interaction

Robotics

2. Data Science:

Data Science is all about cleaning,analyzing,organizing,preparing and visualizing the data.

It requires the following things to be included:

Statistics

Machine Learning

Data mining

Data Analytics

3. Big Data and Cloud Computing:

These are another boom areas to be considered as the trending technologies in the present IT sector . It is because of the importance of data in the life of every individual and consistent improvement in social networks and eCommerce traffic.

4. Android Development:

As the internet users are more comfortable with using android apps than websites,the demand of android development becomes very high.The two popular ways of building android apps are through:

Java

Kotlin

5. DevOps:

Devops is the combination of Development and operations team in a software organization,which is advanced version to agile development.

Top 5 Skills Every Techie Shoud Upgrade

In this post you will know the top skills must learn every programmer to upgrade their skills if you want earn more money around $100,000. Then the following skills you should upgrade. They are


1.Artificial Intelligence(AI)

2.Internet of Things(IoT)

3.Blockchain

4.RoboticProcessAutomation(RPA)

5.Cloud Computing and DevOps

6.DataScience and BigData



Some of the most sought-after job skills include knowledge of artificial intelligence, blockchain and robotics, and techies will need to up-skill 15-20 times to achieve career growth, says a study. According to the edu-tech platform Edureka's Fastest Growing Tech Skills report that examined more than 16,900 responses, the race for innovation among businesses is getting reflected in the race for learning. As per the report, the fastest-growing tech skills include artificial intelligence (AI), internet of things (IoT), blockchain, robotic process automation (RPA), cloud computing and DevOps, data science and big data.

The report noted that one skill in isolation is not enough anymore and a combination of frameworks, programming languages and tools are required of professionals in these domains. As per the report, artificial intelligence is widely recognised as a skill that can leapfrog a technology professional's career growth. Edureka has seen more than 100 per cent increase in learners for the AI course in the last 6 months. The report said IoT is another technology of the future that did not have a dedicated job role until recently but is now one of the hottest skills to master and an IoT Developer can earn an average salary of USD 91,438 per annum. Blockchain is revolutionising connectivity and transactions.

 Professionals who can develop and deploy blockchains can expect a bright career owing to the huge skill gap. The average salary of a blockchain software architect is pegged at USD 123,260 per annum. Organisations are looking to automate large-scale iterative jobs to increase efficiency and hence demand for robotics process automation (RPA) professionals is on a rise. At Edureka, there is a 78 per cent increase in learners opting for RPA courses in the last 6 months. Cloud computing and DevOps have seen a steady growth rate of 35 per cent, while a 60 per cent increase was seen in learners opting datascience training in in the last 6 months at Edureka.