Upskilling is key to meeting the demand for analytical talent

HYDERABAD/BENGALURU: A comprehensive report by Nasscom-Zinnov published last year points to a huge supply and demand gap for talent in the artificial intelligence (AI) and the family of Big Data Analytics (BDA) jobs.

By 2021, it is estimated that job vacancies for AI and BD A in India will increase by 2.30,000. But the new talent available or the available university talent will be only 90,000, leaving a huge gap of 1,40,000. With the world moving towards being a platform based on data and analysis, having a data scientist is very important for each company, says Kalyan Muppaneni, president and CEO of Pi Datacenters, a service and IT company based in Andhra Pradesh. that offers futuristic solutions. Data center and services in the business cloud.

But finding relevant scientific data, with experience in the real world, is very difficult. This may be because information science is not yet a curriculum in most universities, he says.

A LinkedIn report last year identified the role of a data scientist as the fifth most important emerging work in India. The demand for data scientists is increasing significantly in all types of companies: GCC (global capacity centers of multinational companies in India), start-up companies, IT-BPM companies and other companies. In addition, an increase in global demand for these skills is expected to be reflected in the organizations in India, the report said.

The shortage of talents emphasizes two factors: the importance of having continuous pro-gramme and professional programs, and ensuring adequate training before new talent moves into the labor market.

The data and the AI ​​domain are growing rapidly. A large number of experienced professionals (middle-career technicians) are improving their skills and this trend will continue for a while, as the skill gap shows no signs of closing at any time soon, says Anand Narayanan, product manager at the firm. of information technology will simplify.

A Nasscom el informe identifica a los profesionales de la mitad de la carrera como un grupo de talentos adyacente, un gran segmento de oferta de talento que se puede capacitar para trabajar en artificial intelligence y análisis de big data. Los adeptos al talento en el desarrollo de software, bases de datos y otras habilidades relevantes, a pesar de la falta de AI y las capacidades de análisis de big data, pueden ser calificados para los roles deseados, dice.

Professor Kamal Karlapalem, head of the data science and analysis center at IIIT-Hyderabad, says that companies like Google , Amazon and Microsoft provide basic software to facilitate the development and implementation of data science solutions. He says that education for data science will move towards training in commodity software and understanding domains for specialized analysis. What SQL was forty years ago, commodity data analysis systems is now, he says.