AINews & Analysis

Why is AI Adoption in India Slow? Check out IBM’s Reasons

A recent study conducted by IBM believes that organizations are keen to add AI to their business processes and services but…

A new study commissioned by IBM (download it here) claims that a third of IT professionals across the globe believe their businesses are using artificial intelligence (AI), with 43% of those surveyed reporting that their enterprises had accelerated their AI rollout following the Covid-19 pandemic and the resultant lockdowns.

“While the recent advances in the technologies are making AI more accessible than ever, the annual survey also found that a lack of AI skills and increasing data complexity are cited as top challenges,” says the report. However, from India’s perspective adoption is slower given a cohesive strategy for its adoption as well as a dearth of requisite technology skills.

The report says that seven out of ten IT professionals in India believe that there is a lack of strategy towards AI implementation which presents the biggest barrier to adoption. Additionally, four out of ten people felt that limited skills, expertise or knowledge around AI presented another barrier to organizations exploring its adoption.

According to Siddesh Naik, Data, AI & Automation Sales Lead at IBM Technology Sales, IBM India South Asia believes that with AI adoption growing steadily, enterprises in India have begun using it to augment their core business processes and services to better serve stakeholders.

The report further points to three clear trends emerging in India over the past months. The first relates to automation use cases getting to the forefront of AI adoption with businesses using the technology to stay competitive through enhancing operational efficiencies.

The second trend revolves around effective data management and AI deployment as without the right tools it becomes exceedingly difficult to leverage data across businesses.The third trend relates to the overall trust that businesses feel towards AI, which depends directly on generating proper explanations to make decision making easier.

While 57% of IT professionals felt that their companies had actively deployed AI, about 27% were of the view that their enterprises were still at an exploratory stage. Of the first lot, half of those surveyed claimed that their company would invest in R&D around AI and build proprietary solutions while also reskilling the workforce to tackle future needs.

Most of the professionals surveyed said that at least 25% of their company’s workforce would benefit from AI implementation as they require constant access to company data in their decision making efforts.

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