In this episode, we explore how digital innovation is transforming maternal and child healthcare in rural India. Dr. Santosh Bhosale shares his journey from clinician to social impact leader, driving Project Maatr, an initiative powered by Capgemini, to support frontline Accredited Social Health Activists (ASHA) workers. By digitizing manual processes, equipping workers with tools, and leveraging data and AI, the program enables real-time identification of high-risk pregnancies and more proactive care.

The conversation highlights the importance of localized data, ethical AI, and human-centered design in building scalable healthcare solutions. Beyond technology, it underscores the power of empathy, community engagement, and partnerships in addressing systemic challenges.

In the episode, music is not just a metaphor, it becomes a practical tool for connection and care. Dr. Santosh describes initiatives like “Art on Wheels,” where music, singing, and creative expression help children recover from post-pandemic trauma, making them more receptive and engaged after even short sessions. Music is also being explored with mothers and frontline workers to improve mental well-being and strengthen community engagement.

All in all, a compelling look at how innovation, when grounded in purpose, can improve outcomes for millions and create a more equitable healthcare ecosystem.

Timestamps:

[ 01:15 ] - Introduction of Dr. Santosh and his move from medical to social wealthcare
[ 08:06 ] - The challenges and how to empower ASHA workers with digital tools
[ 13:35 ] - Helping mothers with the help of AI
[ 19:22 ] - UX, the challenges of languages and data challenges for training medical AI
[ 27:26 ] - Music is affecting us every time and how iicare.org pushes sustainability
[ 36:11 ] - A better future through simplicity, ecosystems and partnerships

What do Red Hot Chili Peppers, German techno, and research data have in common? More than you’d think.
In this episode of Our Jam, we sit down with York Sure‑Vetter, founding director of the National Research Data Infrastructure (NFDI) and professor at the Karlsruhe Institute of Technology, to explore what it truly takes to build trustworthy, high‑quality research data in the age of AI.
From ontologies and semantics to FAIR principles and long‑term data stewardship, the conversation bridges deep technical insight with real‑world impact.

Along the way, York shares personal stories, lessons from international collaboration, and a philosophy inspired by the Red Hot Chili Peppers’ Give It Away. It’s a thoughtful discussion on openness, trust, and why data like music only gains real power when it’s shared responsibly.

Time stamps:

[ 02:57 ] - Introducing York and talking about (sharing) research data
[ 15:18 ] - Digital heritage & assets and FAIR principles to support data sharing
[ 21:52 ] - From Red Hot Chilly Peppers and Nina Hagen to sharing data
[ 33:10 ] - Open Data, Open Metadata and wikidata
[ 40:07 ] - From Internet Archive and open Hardware to Federated Networks
[ 47:49 ] - Effects of the technical development to (open)data

What if engineers could design hardware just by talking, while AI agents handled the heavy lifting?

In this episode of Capgemini’s Data‑powered Innovation Jam, we sit down with Dr. Moritz Maier, Founder & CEO of Synera, to explore how generative AI and multi‑agent systems are transforming engineering. From BMW car parts designed in minutes to AI systems collaborating like human teams, Moritz shares real-world breakthroughs, hard lessons on trust and transparency, and a bold vision for the future.

We cover AI copilots for engineers, faster time‑to‑market, German engineering rigor vs. Silicon Valley speed, and why tomorrow’s engineers will focus less on tools and more on judgment.

🎧 A must‑listen for anyone shaping the future of data, AI, and innovation.

Timestamps:

[ 03:29 ] - Introducing Moritz Maier and talking about the beginnings of Synera
[ 09:36 ] - The Eureka moment of agents in Engineering
[ 17:50 ] - the change of human skills in the human-ai-collaboration
[ 28:30 ] - Finding a common language of automated workflows and systems engineering

Study mentioned in the episode: Labor market impacts of AI: A new measure and early evidence