It may seem rather convenient to search for a phone number on search engine but notThe current demand-sup- ply gap in data science and AI in the country stands at 51 per cent, significantly lower than major economies such as the US.

Currently, the top five roles ML engineer, data engineer, data scientist, data architect and DevOps engineer — together constitute 73 per cent of all AI job openings in the country.

At the same time, the two top roles — ML engineer and data engineer — constitute 46 per cent of total installed talent.

With over 1.6 million digi- tal talent pool (as of FY2022E), India has emerged as the prime destination for talent globally, said the report.

India currently ranks first in terms of AI skill penetration and AI tal- ent concentration and fifth in AI scientific publications, a Nasscom report said on Friday.

India’s ‘AI Skills Penetration Factor’ has been reported to be 3.09 — the highest among all G20 and OECD countries. It shows that India’s tech talent is 3X more likely to have or report AI skills than other countries, according to the report by the National Association of Software and Services Companies (Nasscom) in partnership with Salesforce and Draup. India is also expected to wit- ness high growth in the demand for data science and AI professionals with an estimate of more than 1 million professionals by 2024.

“AI-led disruption in India’s core sectors alone has a potential impactof $500 billion on India’s economy in gross value added (GVA) terms by 2026. However, this cannot be achieved alone and would require concentrated efforts from the govern- ment, industry and academia to ramp up AI skilling and initiatives at scale,” said Debjani Ghosh, President, Nasscom.

The recent announcement by the government to set up three Centres of Excellence to develop AI for India and to make AI work for India is acean excellent step forward in build- ing the core capabilities in AI and design thinking needed to drive actionable impact,” she added.More than 1,900 AI-focused start- ups are providing innovative solu- tions, primarily in the areas of con- versational AI, NLP, video analytics, disease detection, fraud prevention and deep fakes detection.“People with the right domain expertise and business context have the ability to build predictive models, plan simulations and scenarios, and cluster data. These skills are in high- demand and have huge potential to optimise business efficiency and more importantly build trust among customers and employees,” explained Deepak Pargaonkar, VP, Solution Engineering, at Salesforce.

Two recent incidents prove this.In the first case, a man was duped of Rs 71,000 when he surfed the Internet to find the number of a hospital. His wife had fallen ill and he called up the number for consultation.

The victim, Bhagwandin, was asked to deposit Rs 10 through Phonepe to get the patient’s registration done for consultation with a doctor of Indiranagar.

Since the victim told the miscreant that he cannot make the payment through the app, on which the miscreant asked him to share the bank account number, which he did.He was asked to download the QuickSupport app and pay Rs 10 through the app. A little later the victim got an OTP on his registered mobile number and the miscreant asked him to share it.After his wife was admitted, the man went to an ATM to withdraw the money, he came to know that Rs 71,755 had been withdrawn from his bank account.

In another case, a resident of Aminabad was duped of over Rs 64,000 in the name of purchase of sweets from a prominent shop in Sadar locality under Cantonment.

The victim, Ashok Kumar Bansal, placed anonline order for sweets from the shop after he searched the mobile number of the shop on Google. He said that the person who took the call asked him to furnish details of his bank account for the payment.

Superintendent of Police, Cyber cell, Triveni Singh, said that when a user down- loads this type of (Quick Support) app, they give all the permissions to the app. While the victim is busy filling his name, number and paying Rs 10 as service charge, miscreants can watch the pin code, which is then used to withdraw the money later.

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