Be prepared to learn several technologies in 2020 as it shall open a wide spectrum of job opportunities for Freshers And Trending Technical skills for job seekers in 2020

Be prepared to learn several technologies in 2020 as it shall open a wide spectrum of job opportunities for Freshers.

Workplace culture has been an important factor in maintaining business and retaining skilled talent. With the omnidirectional development of the tech industry, hiring diverse and skilled talent has become a high priority for employers. Recently, Srikanth Pattathil, President, Harbinger Systems, discussed the ongoing trends in the information technology sector. Here is a part of the same -

Trending Technical skills for job seekers in 2020

There is a huge demand for full-stack engineers. DevOps / CI-CD skills are becoming an essential requirement for most software projects. Data science, AI and machine learning skills are prized by technology companies. There is also an acute requirement for technical-project managers, who will not only have the ability to manage schedules and people but will work closely with the client and their teams on the technical front. Knowledge of Design Thinking Methodology is now the desired skill, especially for those engaged in customer-facing roles.

UI / UX is another area that is now in great demand by all consumers of software systems/apps/products, in particular, when interacting with such software has an experience similar to Amazon or Uber.

Top 10 technology trends you can learn in 2020

1. Artificial Intelligence and Machine Learning (AI & ML)

Artificial intelligence has had a great influence among top technological developments, and for many years. Not surprisingly, it has also found a place in the 2020 technology forecast. I apply to computer systems that are programmed to mimic human intelligence and perform tasks such as image recognition, speech or patterns, and decision making. AI can perform these tasks more quickly and correctly than humans. ML and AI will provide organizations with unprecedented insights into their competitive landscape, current performance, and resource allocation. And, in fact, marketers can use these insights to dramatically improve performance, as well as many others.

Microsoft announced that early adopters of AI for business in the United Kingdom have already seen a 5 percent increase in efficiency, quality and business results, which has not explored the scope of their growth potential. In 2020, marketers should have an obsession with AI and ML for these reasons. It is now up to organizations to really understand how this can make everyone in their organization jobs more enjoyable - and their lives are better.

The next 12 months provide marketers with a unique opportunity to provide a new type of value to their entire business. ML and AI are here to stay. It is important to understand that the fruits of such development will be available only to those who make the initial investment - and well.

2. Internet of Things (IoT): There is no doubt in the world of science and technology that people choose the Internet as a means of communication. This is one of the reasons responsible for bringing in a fraction of a second or sometimes millions of people together and share their thoughts and expression. IoT will soon establish a strong position for all of us shortly and will change our lives completely. It will connect each object to the Internet in some way or the other. Whether it is a refrigerator door or furniture, sensors that will calculate the data and send the data to the cloud. In other words, it will soon be our mother nature smart nature. 

3. 5 G 

By 2020, nations all over the world, as well as nations, will be under lightning fast internet connection. Also, do not forget about all the benefits associated with it. There is no doubt that the 5G network will soon make its way into the technology market. It will also bring huge amounts of benefits such as high internet speed, high capacity, and low latency.

5G will not only connect people to mobile networks but will interconnect and control machines, goods, and devices. It will deliver new levels of performance and efficiency that will empower new user experiences and add new industries. 5G will provide a multi-Gbps peak rate, ultra-low latency, huge capacity, and a more uniform user experience. For the latest information on 5G, you should visit our 5G website.

5G is the major driving force Powering the next generation Digital Economy.

5G will be a major economic driver - due to the innovation of new industries, products, services, and employment generation. To better understand and explain these effects, Qualcomm started The 5G Economy - a landmark research project.

4. Automation

Given that many emerging technologies such as cloud computing, Big Data, Artificial Intelligence, and Robotics are growing to a high level of growth, it is not surprising to see that automation is at its peak. Many software consulting firms manage the deployment of automation from banking to manufacturing and software companies. Python is facilitation Automation to the next level.

5. Blockchain

Blockchain is the top emerging technology of tomorrow. It is a decentralized digital ledger that transacts on thousands of computers around the world. They are registered in a manner that prevents their subsequent amendment. Blockchain technology enhances security and speeds up the exchange of information in a way that is cost-effective and more transparent. It also extends to third parties whose main role was to provide trust and authentication in the transaction. Large corporations are primarily looking at three blockchain platforms to develop top-level business solutions.

The demand for blockchain developers is increasing. You will be working with the Bitcoin and Ethereum protocols in this course, creating projects for real-world applications and learning the skills needed in this dynamic space for a career.

6. Cyber Security

Cybersecurity study programs teach you how to protect computer operating systems, networks and data from cyber-attacks. Learn to track devices as they take and mitigate risk. The overall objective of learning cybersecurity is to help you develop the technical skills necessary to prevent attacks and protect the data and privacy of individuals.

Cybersecurity or information technology security is an area within information technology protecting computer systems and preventing unauthorized use or alteration or access to electronic data. It deals with the preservation of software, hardware, networks, and information. Due to the heavy reliance on computers in the modern industry, which store and transmit an abundance of confidential information about people, cybersecurity is an important function and essential insurance for many businesses. It also protects the computer system from theft or damage.

7. Voice Technology

In the past, we have seen advances in voice technology such as Siri, Alexa, and others, but they have always fallen short of human standards - or even become useful in everyday life. Voice is a natural and free-flowing medium, something that is not easily translated into digital technology. Shortly, voice commands and voice assistants will be even more useful in our daily lives, defying the line between interfaces between human technology. As the underlying technology of these fields advances (AI, speech recognition, machine learning), it will only be pushed into greater technical importance.

8. Edge Computing

Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed to improve response time and save bandwidth. The origins of edge computing lie in the Content Delivery Network, created in the late 1990s to serve web and video content from Edge servers that were deployed close to users. In the early 2000s, these networks evolved to host applications and application components on edge servers, resulting in the first commercial edge computing services, which were dealer locators, shopping carts, real -Time hosted applications such as data aggregators, and ad insertion engines. Modern edge computing extends this approach through virtualization technology that makes it easy to deploy and run a wide range of applications on edge servers.

The new field of edge computing has steadily increased in importance and efficiency, and 2020 will be the most attractive year for vendors and consumers in this exciting field. Edge computing is characterized by the diversity of applications applied in many industries. The unique demand for computing, storage, and networking for each use case will drive the development of custom form factors from the processor level.Maintaining edge computing platforms due to ubiquitous bandwidth and connectivity limitations will prompt organizations to work with an integrator to support their edge computing solutions rather than building and deploying their own. According to the survey, the biggest benefits derived from edge computing include the flexibility of organizations to handle current and future demands for artificial intelligence, and the fact that edge computing avoids network latency and provides faster responses.

9. Analytics

Analytics is the discovery, interpretation, and communication of meaningful patterns in data. It also emphasizes applying data patterns to effective decision making. In other words, analytics can be understood as the connective tissue between data and effective decision making within an organization. Especially valuable in areas rich with recorded information, the analysis relies on the simultaneous application of statistics, computer programming, and operations research to determine performance.

Organizations can apply analytics to describe business data, make predictions, and improve business performance. Specifically, areas within analytics include Predictive Analytics, Prescriptive Analytics, Enterprise Decision Management, Descriptive Analytics, Big Data Analytics, Retail Analytics, Supply Chain Analytics, Store Assortment, and Stock Keeping Unit Optimization, Marketing Optimization and Marketing Mix Modeling, Web Are included. Analytics, Call Analytics, Speech Analytics, SalesForce Sizing and Optimization, Price and Promotion Modeling, Predictive Science, Credit Risk Analysis and Fraud Analytics. Since analytics may require extensive computation (see big data), the algorithms and software used for analytics use the most current methods in computer science, statistics, and mathematics.

Analytics is playing an important role in the development and evaluation of business worldwide. If you are successful in your market, analytics can not only tell you, but they can help you predict where the markets are headed. Analytics, while simple on the surface, actually involves data processing to make large amounts of raw data workable and useful. To make sense of data, identify issues and even recommend action, analytical tools that use machine learning will require a lot more than is currently being implemented. Analytics is essentially a feature in which AI and machine learning techniques will be particularly useful. For many emerging techs over the next decade, analytics will be the right use case.

10. Virtual Reality

Virtual reality (VR) is a simulated experience that can be the same or completely different from the real world. Applications of virtual reality may include entertainment (ie video games) and educational purposes (ie medical or military training). Other, different types of VR style technology include augmented reality and mixed reality.

Currently, standard virtual reality systems use virtual reality headsets or multi-predictive environments to simulate the physical presence of a user in a virtual environment to generate realistic images, sounds, and other sensations. A person using a virtual reality device can see the artificial world, move around it, and interact with virtual features or objects. The effect is usually created by a VR headset with a head-mounted display with a small screen in front of the eye, but can also be created through specially designed rooms with several large screens. Virtual reality typically incorporates auditory and video feedback, but may also allow other types of sensory and force feedback through hepatic techniques.

Virtual reality (VR) improves the user experience while augmenting reality (AR) enhances the environment. VR is a major player on the market, such as Google, Samsung, and Oculus, but a lot of start-ups are emerging and recruiting, and demand for VR and AR skills professionals will only increase. VR does not require much-specialized knowledge. Basic programming skills and a forward-thinking mindset can create a job, although other employers will also look for skill sets and optics as hardware engineers.