Tuesday, December 12, 2017

How to get those top AI jobs - There is already a demand for professionals who can wield business tools powered by Artificial Intelligence

With the rapid rise in use of innovative digital technologies like Artificial Intelligence (AI) to meet evolving business needs of organisations across industries, more than 30 percent of the global workforce must equip itself with new skills to be effective in their roles.
Despite the pervasive worry about AI making several tech professionals and functions redundant, a new report by Gartner, an American research and advisory firm, states that Artificial Intelligence will create 2.3 million jobs by 2020, while a report by Capgemini revealed that 83% of companies employing AI-powered tools have already been creating new jobs with the help of this technology. Here are some of the top AI-powered jobs that are most in demand at present and will see further growth in the future:

Data scientist
The role of the data scientist in modern businesses is accentuated by the rapid development of cutting-edge analytics tools and technologies. Data scientists, with their advanced skillsets in statistics and analytics, can sort through large volumes of data easily and organise it to extract valuable insights that can help businesses take the right decisions and optimise some of the key organisational processes.
Currently, data science and analytics is widely used by e-commerce companies, financial institutions, healthcare organisations, engineering companies, marketing agencies and data science vendors. In addition, data analytics is a major tool deployed by social networks, search engines, as well as organisations undertaking mobile analytics and retail analytics to gather useful insights for sales strategies and marketing campaigns.

ML developer
The potential applications of AI and machine learning in nearly every industry are almost limitless. An AI and Machine Learning developer (ML) can understand the requirements of the business and the ecosystem it operates in, and design the best tools and platforms to aid in automating processes. Hence, as an AI and machine learning developer, an individual must work with machine components that function autonomously with minimum human intervention. Sectors and processes that leverage AI and machine learning include technology companies, healthcare, transportation, finance, construction, production and manufacturing and customer service
UI/UX designer
The tasks for a UI/UX designer include understanding and analysing customer pain points and problems, prioritising business goals, constructing a practicable hypothesis, designing appropriate solutions, and then evaluating the effectiveness of solutions with the help of customers. The demand for UI/UX designers is significantly high among technology, automotive, industrial engineering, healthcare, fashion and e-commerce companies.

Blockchain developer
Blockchain is one of the most disruptive technologies in the digital financial services ecosystem which facilitates highly secure, transparent and seamless transactions between multiple participants and machines by eliminating the need for a central authority. With the ever-rising demand for financial technology in banking, blockchain is the most sought-after tool by both traditional financial institutions as well as digital lending and banking companies across the globe. Besides banking and financial services, blockchain is being widely used by technology companies, consumer product brands, manufacturing concerns, media organisations, life sciences, healthcare and telecommunications.

Cloud software engineer
Cloud computing and cloud-based technologies and platforms are in high demand as they help organisations drive down costs and eliminate major capital expenditure on hardware upgrades. Moreover, a well-developed cloud computing ecosystem can also aid the efficient performance of other technologies such as data analytics and machine learning.
Cloud computing and software are helping sectors such as technology manufacturing, consumer products manufacturing, financial services, industrial manufacturing, telecom, automotive, aerospace, transport/logistics, retail, software, pharma, media and metals/mining.

Source: THE HINDU-6th December,2017