IIKM Business Analytics

Upskilling is key to meeting the demand for analytics talent

Hyderabad / Bengaluru:

An exhaustive Nasscom-Zinnov report released last year flags a huge talent demand-supply gap in the artificial intelligence (AI) and big data analytics (BDA) family of jobs.

By 2021, the total AI and BDA job openings in India is estimated to go up by 2,30,000. But the fresh employable talent or university talent available will be just 90,000, leaving a huge gap of 1,40,000. “With the world moving towards being a data- and analytics-driven platform, to have a data scientist is highly important for each corporate,” says Kalyan Muppaneni, chairman and CEO of Pi Datacenters, an Andhra Pradesh-based IT & services firm that delivers futuristic data center and enterprise cloud services. “But to find relevant data scientists, with real-world experience, is very difficult. This may be because data science is still not a curriculum in most universities,” he says.

A report by LinkedIn last year pegged a data scientist’s role as the fifth top emerging job in India. “The demand for data scientists is increasing significantly across all types of companies — GCCs (global capability centers of MNCs in India), startups, IT-BPM companies, and other enterprises. Additionally, an increase in global demand for these skills is also expected to reflect across organizations in India,” the report says.

The talent dearth emphasizes two factors: The importance of having continuous, career-learning programs, and ensuring adequate skilling before fresh talent moves to the job market. “The data and AI domain are growing rapidly. A large number of experienced professionals (midcareer techies) are upskilling themselves and this trend is set to continue for a while since the skill gap shows no signs of being closed any time soon,” says Anand Narayanan, chief product officer at edtech firm Simplilearn.

A Nasscom report identifies mid-career professionals as an adjacent talent pool — a large segment of talent supply that can be trained to work on AI and big data analytics. “Talent adept in software development, databases, and other relevant skills, despite lacking direct AI and big data analytics capabilities, can be upskilled to the desired roles,” it says.

Prof Kamal Karlapalem, head of the data science and analytics center at IIIT-Hyderabad, says companies such as Google, Amazon, and Microsoft are providing commodity software for easing the development and deployment of data science solutions. Education for data science, he says, will move towards training on commodity software, and domain comprehension for specialized analytics. “What SQL was forty years back, commodity data analytics systems is now,” he says.

IIKM Data Scientist
Big Data Engineer

Source: This Article Has Been Taken From The Hindu Newspaper, To Give Some Exposure to the Students.

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