Months after the acquisition of business process management firm WNS by French IT major Capgemini, the company said that it has given WNS deeper access to advanced technology, consulting and AI-led transformation capabilities alongside strengthening Capgemini’s relatively smaller BPM portfolio.
“Business process transformation in the future will be deeply integrated with technology,” Gautam Singh, Head- Analytics, Data & AI, WNS said in a conversation with Fe.
The deal had come close to the Digital Personal Data Protection (DPDP) regime pushing global technology companies to redesign AI workflows around local data governance, cost efficiency and use-case-specific models.
Addressing data localisation, Singh said WNS focuses on what it calls Effective Language Models, customised AI models built using only the most relevant datasets for specific use cases.
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“Effective language models take a more deeper dive view on what is required for specific use cases and ensure that the data we are looking at from a language model perspective is effective for that use case, which means we control the cost and we ensure the relevance and therefore the effectiveness of how those models are being leveraged for those use cases,” Singh said.
In July this year, Capgemini had completed the acquisition of WNS, in a $3.3 billion all-cash deal.
WNS Analytics employs around 4,000 analysts globally who operate across industries such as insurance, legal services and financial services. The analytics unit supports both standalone client analytics needs as well as integrated BPM-led transformation initiatives.
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“The business has roughly about 4,000 analysts who provide all the analytics work, or analytics-related support, to our clients directly,” Singh said.
India remains a critical market for both Capgemini and WNS, serving as a major delivery hub. In total, WNS operates across over 65 countries, employs more than 60,000 people, and services over 400 clients globally.
While revenue break-ups for India were not disclosed, Singh said the country is a big and important market, both from a delivery and growth perspective, adding that Capgemini’s India presence further increases the combined entity’s scale and execution capability.
The country’s growing focus towards AI, data centres and digital infrastructure is also expected to benefit global technology firms. Singh said that given the country’s young population and large digital footprint, it would generate high-quality data that is extremely valuable for AI use cases.
On the government’s discussions around potential revenue-sharing mechanisms between AI companies and content creators, Singh said policymakers need to strike a careful balance.
“The idea isn’t wrong, data generated by Indian users has significant value. But the ecosystem must remain attractive for global AI players,” Singh said highlighting that if regulations become too inward-looking, companies might look for newer avenues.