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TCS teams with Norway’s SINTEF to apply AI for longer home care

3 min read

TCS has teamed up with Norway’s research institute SINTEF to pilot an AI‑driven approach to home‑based elder care. The collaboration targets a demographic that’s growing fast: seniors who prefer staying in their own homes rather than moving to assisted facilities. What sets this project apart is its reliance on “Social AI,” a layer of machine learning designed to pick up subtle cues about individual routines, health markers and social interactions.

By tailoring recommendations to each resident’s habits, the system aims to flag early signs of decline and suggest interventions before a hospital visit becomes necessary. The partnership also reflects a broader push to embed technology into everyday health services without sacrificing privacy or personal touch. As the two organisations align their objectives, they hope to translate data insights into tangible improvements for Norway’s aging population.

“SINTEF shares similar values, and I believe that together, we can improve the quality of life and help the elderly in Norway to be able to stay healthy, in the comfort of their homes much longer.”

SINTEF shares similar values, and I believe that together, we can improve the quality of life and help the elderly in Norway to be able to stay healthy, in the comfort of their homes much longer." What makes this initiative innovative is the use of Social AI to understand the unique needs of each individual and personalise their care, TCS said. By combining advanced research with digital technology, the platform not only improves elderly care but also sets the stage for smarter more inclusive healthcare solutions in the future. Sapthagiri Chapalapalli, head of Europe at TCS, said, "Together with SINTEF, the identification of specific, practical AI use cases that address real business challenges focusing into usability and human-centric approach will come full circle." Chapalapalli said the company's digital technologies will add scale and speed to SINTEF's research and innovation activities, enabling these projects to have an even greater reach and impact for society.

Related Topics: #AI #Social AI #machine learning #TCS #SINTEF #elder care #Norway #digital technology #human-centric approach

Can technology truly extend independent living for seniors? TCS and SINTEF say their Social AI will try. The partnership leans on TCS’s track record in healthcare, energy and smart‑city projects, while tapping SINTEF’s research depth.

Together they plan to adapt the eHeal platform, adding AI that tailors support to individual needs. If the system can recognise subtle changes in daily routines, caregivers might intervene earlier, potentially keeping older adults at home longer. Yet the rollout will face practical hurdles: data privacy, integration with existing home‑care services and the willingness of users to trust automated recommendations.

The announcement stresses shared values and a common goal of improving quality of life, but concrete metrics for success have not been disclosed. Whether the collaboration will move beyond pilots to scalable solutions remains unclear. For now, the initiative stands as a cautious step toward personalized, AI‑driven elderly care, pending real‑world validation.

Further testing with Norwegian households will determine if the promised extensions of home care are achievable.

Further Reading

Common Questions Answered

What is the role of Social AI in the TCS and SINTEF home care pilot?

Social AI provides a machine‑learning layer that detects subtle cues in seniors’ daily routines, health indicators and social interactions, enabling personalized recommendations. By interpreting these signals, the system can alert caregivers to early changes, helping older adults remain independent longer.

How does the partnership leverage TCS’s previous experience in healthcare and smart‑city projects for the elder‑care initiative?

TCS applies its track record in healthcare, energy and smart‑city solutions to integrate digital technology with SINTEF’s research, adapting the eHeal platform with AI capabilities. This combination aims to create a scalable, data‑driven care model that can be deployed across Norway’s senior population.

What specific platform will be adapted to incorporate AI for personalized elder care, and what enhancements are planned?

The collaboration will adapt TCS’s eHeal platform, adding a Social AI module that tailors support to each resident’s unique needs. Enhancements include routine‑recognition algorithms that detect subtle changes, enabling earlier caregiver intervention and potentially extending independent living.

According to the article, what demographic trend is driving the need for AI‑driven home‑based elder care in Norway?

Norway’s senior population is growing rapidly, with more older adults preferring to stay in their own homes rather than move to assisted‑living facilities. This demographic shift creates demand for innovative solutions like Social AI to maintain health and independence at home.