Leveraging AI agents to support education policymaking
In response to the critical need for data-driven educational policy formulation, Capgemini partnered with UNESCO and AWS for the seventh Global Data Science Challenge (GDSC), which tasked teams to transform complex learning assessment data into actionable insights, using AI. Amongst thousands of global participants, the winning team, insAIghtED, developed an advanced “policy expert” capable of analyzing over 30 million data points about fourth-grade reading achievements. The user-friendly solution facilitated the automation of large-scale data analysis and data visualization, providing concise summaries and detailed insights for various stakeholders to identify key trends in reading abilities across different regions and education systems. “It demonstrates how AI can bridge the gap between raw data and impactful education policy,” said UNESCO’s Chief of Education Policy, Gwang-Chol Chang.
Accelerating the diagnosis of endometriosis using AI
Capgemini’s Dimedia project tackles major healthcare challenges, focusing on women’s health (endometriosis, preeclampsia) and mental health. It leverages AI-powered digital tools to enhance diagnosis and patient monitoring, aiming to improve care and outcomes. Charlotte Alliod, a doctor of health sciences at Capgemini Engineering, decided to apply the technology to the diagnosis of endometriosis. Around 10% of women worldwide suffer from the debilitating condition yet it can take between five and 10 years to diagnose accurately. Working with the Hospices Civils de Lyon public hospitals, Dr. Alliod and Capgemini developed the Endopath AI system, which uses artificial intelligence to analyze large sets of patient data with the aim of slashing diagnosis times for endometriosis by up to two years. Endopath is currently undergoing training on patient files and is due to be implemented, initially at Hospices Civils de Lyon, in 2026.
Personalized customer communication at a vast scale
Wind Tre, an Italian telecommunications company, initiated a digital transformation to enhance customer engagement and responsiveness within sales, marketing, and service processes. Partnering with Capgemini, it adopted a marketing strategy leveraging Pega’s Customer Decision Hub, Adobe Experience Cloud, and Google Cloud components. This collaborative effort expanded Wind Tre’s capability for personalized customer interactions, processing over 1,000 events per second and delivering 100 million decisions daily across various channels. The project emphasized real-time, tailored communication, moving beyond traditional marketing tactics. Wind Tre now enjoys improved inbound and outbound communications, with a system built for resilience and scalability, and prepared for future technological innovations. This transformation positions Wind Tre as a more agile and competitive player in the market.