Client testimonial
Taming the data deluge with AI
- With millions of documents spread across dozens of databases, TE Connectivity had a knowledge management problem. Chief Transformation Officer Phil Gilchrist tells us how he partnered with Capgemini and AWS to create TELme, a conversational data interface powered by Gen AI.
Phil Gilchrist
Chief Transformation Officer, TE Connectivity
What was the challenge TE Connectivity faced before partnering with Capgemini on the TELme project?
Phil Gilchrist - The challenge was accessing and utilizing our vast repository of engineering data. We had 75 million documents spread across 66 databases, making information retrieval extremely time-consuming for R&D teams. Finding information was like looking for a needle in 66 different haystacks. It hindered collaboration, slowed product development, and created inefficiencies across the organization. The inability to share critical knowledge across teams and generations of engineers was a major concern.
Can you explain the solution designed with Capgemini and how it addressed your needs?
P. G . - Working with Capgemini and AWS, we developed TELme, a Gen AI-powered platform that consolidates all our internal research into a single, intuitive interface. TELme organizes our massive dataset, allowing the easy search and retrieval of information. The platform’s conversational interface facilitates a user-friendly experience, enabling engineers to access the knowledge they need quickly and efficiently. TELme also addresses our need for knowledge continuity by making company data easily shareable across the organization regardless of personnel changes.
Why was Capgemini the right partner for this mission?
P. G . - Capgemini distinguished itself through its comprehensive understanding of our challenges and its ability to provide a holistic solution. They didn’t just focus on the technical aspects of data integration-they considered the broader implications for knowledge management and collaboration. Their collaborative approach, combined with their expertise in AI and the partnership with AWS, ensured the development of a secure, scalable, and user-friendly platform tailored to our needs.
What improvements in productivity have you seen since implementing TELme, and what are your plans for the platform?
P. G . - We’ve seen a five-to-tenfold improvement in the time engineers spend on research and development. This efficiency gain translates into faster product development cycles and allows our teams to focus on innovation. Looking ahead, we plan to expand TELme’s functionality to other departments to enhance collaboration and streamline processes. We envision TELme as the central hub for knowledge management and innovation for years to come, and it will eventually have the power to serve as an AI assistant for each employee.