News

April 22 – 24 | Information Energy

March 23, 2026

The Information Energy Conference is back for another round. From April 22 to 24, 2026, this three-day online conference will once again bring together the international TechComm community to discuss current developments and future trends in the fields of technical communication, software documentation, technical translation, and artificial intelligence.

More than 40 top international speakers will lead over 35 exciting sessions featuring technical presentations, workshops, showcases, and discussions. The event will take place entirely online via Zoom, making it easy to participate from anywhere in the world. The conference language is English.

We are pleased to support the Information Energy Conference as a sponsor again this year. Our colleagues Dr. Martin Ley and Sebastian Jaquet will be there to present an exciting talk.

Secure your ticket now—we look forward to connecting with you virtually!

Our expert presentation

April 23 | 11.00 am – 12.10 pm
Linked Corporate Knowledge as Key to the Digital Product Pass

The Digital Product Passport (DPP), starting in 2027, is often seen as a regulatory burden. Yet its real potential goes far beyond compliance. By requiring structured, standardized data across the entire product lifecycle, the DPP forces companies to rethink fragmented information landscapes. Instead of becoming another data container, the DPP will be propelled by linked corporate knowledge. This session shows how semantic technologies and knowledge graphs transform scattered data into an interoperable information backbone and how PANTOPIX SPHERE makes this approach actionable in practice.

April 24 | 02.00 pm – 02.40 pm
Agentic AI meets Knowledge Graph: Next-Level for ZEISS Service

Efficient and targeted service operations require more than extensive manuals – they demand precise, context-specific information tailored to the situation at hand. At ZEISS RMS, we address this need with the Service Copilot, an AI-powered assistant that leverages an Industrial Knowledge Graph integrated with Agentic AI. By connecting distributed data sources including device configuration, component history, and real-time status the Service Copilot delivers actionable insights to field technicians. This enables informed decisions, such as whether a component should be replaced or retained, and ensures access to the right tools, spare parts, and service history when and where they are needed. Our approach transforms complex data into intelligent support for service excellence.