Talk to Your Data | T-Systems Unveils AI Agent to Accelerate Analysis Work

Key Takeaways

• AI chat interface accesses scattered data in seconds
• Ontology layer creates unified semantic map across systems
• Pilot tests reduced analysis time from six hours to one
• Hospital use cases enable single‑query patient record retrieval
• Runs on sovereign cloud, preserving data security and compliance

Summary

T‑Systems launched “Talk to your data,” an AI‑driven chat platform that connects disparate corporate data sources, searches, analyzes, and visualizes information on demand. The solution uses an ontology layer to map data across systems, enabling natural‑language queries. Pilot projects, including a public‑sector report and hospital use cases, cut analysis time from six hours to under an hour. The service runs on T‑Systems’ sovereign AI cloud, keeping data within a secure, private infrastructure.

Pulse Analysis

Enterprises today grapple with data silos that hinder insight generation and inflate operational costs. While the volume of stored information continues to grow, employees still spend a sizable portion of their day hunting for the right files, a problem highlighted by recent McKinsey and Microsoft studies. T‑Systems’ new “Talk to your data” platform tackles this friction by embedding a conversational AI layer directly into the data ecosystem. Rather than navigating multiple dashboards, users pose natural‑language questions and receive instant, structured answers, effectively turning the enterprise’s knowledge base into a responsive dialogue partner.

The engine behind the chat experience is an ontology‑driven semantic layer that aligns disparate schemas and creates a unified knowledge map. By collaborating with customers to define shared concepts, T‑Systems ensures that the AI can retrieve and combine information even when source systems label it differently. The solution runs on the company’s Agentic AI platform within the Industrial AI Cloud, leveraging both large language models and specialized, efficient models. Crucially, all processing remains inside T‑Systems’ sovereign infrastructure, guaranteeing data residency, encryption, and compliance with strict regulatory regimes.

Early deployments demonstrate tangible productivity gains. In a public‑sector reporting project, the time to assemble a complex analysis fell from six hours to under one, while hospital pilots allowed clinicians to pull a patient’s full diagnostic history with a single query, reducing manual cross‑checking and error risk. By delivering rapid, trustworthy insights, organizations can accelerate decision‑making, free staff for higher‑value tasks, and uphold data‑privacy standards. As AI‑augmented analytics mature, solutions like “Talk to your data” are poised to become a baseline capability for data‑driven enterprises.