Most Useful Technologies Demands in future(2020)

1. MACHINE LEARNING

Machine learning and artificial intelligence are one of the most innovative and exciting fields moving into the future, making it one of the most profitable skills you can learn. From Sirs and Alex to chatbots to predictive analysis of self-driving cars, there are a ton of uses for this futuristic tech.

Machine learning can be applied to every industry, including healthcare, education, finance, etc. Translation? The possibilities are endless, and you can apply your machine learning skills to a role that suits your personality and interests.

2. DATA ENGINEERING

Data engineering is separate from data science, but the former is what enables the latter to exist. Data engineers build the infrastructure and tools that data scientists rely on to conduct their own work.

3. NETWORK AND INFORMATION SECURITY

For any company that collects customer information or deals with sensitive data of their own, keeping networks secure is paramount.

When data breaches do happen, they can be big, newsworthy, and costly for the company to recover from. 2017 had its fair share of cybersecurity disasters, and companies famously hacked in the past include Sony, LinkedIn, Chipotle, and others.

4. Cloud engineer

As the vast majority of companies move important systems to the cloud, more and more are choosing a hybrid approach, with multiple vendors. In the coming years, cloud engineers will develop solutions at a scale that are a mix of both in-house technology and outside systems -- going beyond Amazon engineers working on AWS or Microsoft engineers working on Azure, Mukherjee said.

5. App Developer

Across both end-users and vendors, app developers will be in large demand in 2020, Meneer said. "It's really the intersection of where technical capability comes to face the business need," he added.

6. Database administrator

Database administrators will become more in-demand by 2020, particularly as companies move toward more software offerings that include AI, and the ability to create AI-powered models, Meneer said. "Having well-maintained databases is really the secret to allowing those products to work effectively," he added.

7. Artificial intelligence (AI)

the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since the development of the digital computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks—as, for example, discovering proofs for mathematical theorems or playing chess—with great proficiency. Still, despite continuing advances in computer

8. Internet of Things(IoT)

"The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.”