Top 5 Trending technologies
Geli robot. Rubik cube solving machine. Face recognition software to identify dark matter in the room. AI Social in Pediatric Healthcare to provide positive emotions to sick children. Future technology such as Artificial Intelligence (AI), Machine Learning (ML) and automation have seen significant real-world impacts in 2019. And they continue to be carefully quickly. Indian Personnel Federation (ISF) estimates that 7 million people will be employed in the information technology sector in 2023, with growth coming mainly from the future technology mentioned above.
However, more and more industrial reports find that skilled personnel – such as data scientists, data analysts, engine learning engineers, etc. – It’s hard to find. Indeed, reporting that 30% of work that requires technology skills in India is currently ‘difficult to fill’. In this blog post, we will present five future technologies oriented to our work that you must learn in 2020.
Gartner’s first prediction in ‘Top Strategic Technology Trends for 2020’ is Hyper-Automation – “Combination of Multiple Machine Learning (ML), packaging software and automation tools to provide work.” Hyper-Automation is built on RPA, combining business process management (BPM), AI, ML and data science to automate several processes smoothly in the context of coherent organizations.
For example, in hyper-automatic logistics companies, trucks can be sent automatically based on traffic or weather predictions from travel. Fedex is experimenting with something similar to Hyper-automation – combining autonomous pull, motion sensor, computerized map, 3D camera, high-speed camera tunnel, data analysis machine etc. for end-to-end automation on a scale.
In 2020, the existing professional automation must take advantage of their technology skills such as C, C ++, Selenium, Cucumber, Restsharp etc., and the BPM experience to move to more holistic hyper-automation projects, for more meaningful career and impact .
2. Artificial intelligence (AI) and machine learning (ML)
A group of researchers in Saarland University, Germany, is building an artificial intelligence-based system that can predict local storms more precisely than before – potentially saving hundreds of life from natural disasters. In business too, the early natives like Lily Ai and Vue. Ai interferes with retail and e-commerce with AI. And this is just the beginning.
AI and ML brings efficiency that is never visible – before efficiency in the industry. Skilled professionals are active directly – Python programming, data mining, statistical analysis, predictive modeling etc. Very popular. However, in India there were more than 4000 AI jobs lying empty because of the lack of suitable candidates for more than a year, found a study by Analytics India Magazine.
3. Data and analysis science
“Data is the customer’s voice, data science is the voice interpretation,” said Riley Newman, a former head of data science in Airbnb. Data scientists have come a long way from nerds; They are now collaborating with strong and meaningful in developing digital products. In the near future, data science will no longer be the process of ‘analysis’ reactive, but proactive processes and predictions, fundamentally impact on the business itself.
At that time, there would be a big demand for people with Data Science skills – Indian Analytics MAs estimated that there would be more than 200,000 data science work in India in 2020. Skills in demand for databases, programming with data fighting with pandas, manipulation Data with MapReduce, statistical inference, correlation and regression, will be in demand. Professional, a taste of strong business applications will find better jobs faster.
4. Cyber security.
The threat of hacking is more real and directly today than before. In 2017, smart refrigerators were hacked for distributing porn. Recently, security cameras were hacked to launch the rejection of services distributed (DDoS attack). As a business and the government that will be digital, cyber security is a growing and unavoidable growing needs.
Cyber security, today, including data security, architectural planning, network security, application security, disaster recovery etc. Typical cyber security work estimates skills in the concept of forensic, testing and problem solving tools, Crypto-algorithms etc. This will be an additional encouragement if professionals continue to follow the latest conversations and philosophy in cyber security such as ethical security, ML model theft etc.
5. User experience design
In 2020, the user’s design (UX) will far exceed the development of websites and cellular applications. Augmented Reality Technology Will Live: Heads-up Displays (HUD) and the driver’s help application they are tested beta, Apple recently announced their road map for AR headsets. As the UX multi-channel market due, designers will be called to develop experiences for various channels that begin with web and cellular applications, but develop on smart TV, AR headsets, cars, or even voice assistants.
From multinational companies such as Amazon, conscious, IBM etc. For startups such as automation anywhere and UIPath, companies in India are in desperate need of skilled technology professionals. Even when you read this blog post, hundreds of thousands of empty jobs in these five technologies, and opportunities will definitely grow.
Without a formal education system to teach this technology, and lack of time in the industry to learn from experience, individuals are often expected to invest in themselves to improve – both through personal projects, hackathons, or other online learning programs.
LED Mentor-LED, Project-Based Data Science, Data Analysis and AI / ML Career Tracks are an online-focused learning program, designed to prepare you for a meaningful and successful career in the upcoming technology.
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