Preview Hannover Messe: Decision intelligence in the factory
At Hannover Messe 2026, software manufacturer iTAC will be demonstrating how artificial intelligence combines production data and empirical knowledge. With the iTAC.Asset.Analyzer and the AI-supported chatbot iTAC.CATi, companies can make informed decisions faster - directly in the factory, without cloud dependency.
Today's production companies have enormous amounts of data and extensive empirical knowledge at their disposal. However, much of this information remains unused in day-to-day production: Machines continuously supply data, but often lack the context to quickly draw the right conclusions. At the same time, valuable production knowledge is stored in documentation, IT systems or in the heads of employees - often fragmented and not immediately available.
At Hannover Messe 2026, iTAC (Hall 15, Stand E18) will be demonstrating how this gap can be closed with artificial intelligence. The special feature: iTAC combines production data and knowledge sources into a common decision-making basis - and enables AI analyses directly in the factory, without cloud dependency.
Combining data analysis and knowledge management
The pressure is growing to make production decisions faster and more informed. Ideally, actionable insights can be derived immediately from production data. At the same time, valuable production knowledge needs to be secured. A large part of this know-how is contained in the experience of employees or in distributed documentation. If this knowledge is not systematically made available, it is lost with personnel changes or organizational changes.
At the trade fair, iTAC will be demonstrating how production data can be analyzed in real time and used to make well-founded decisions. The iTAC.Asset.Analyzer, which combines and analyzes machine and process data from the entire production environment, plays a central role in this.
Transparency about machines, processes and performance
The solution enables real-time and historical analyses at machine, line and factory level. This gives managers a comprehensive overview of the status and performance development of production. Deviations or quality problems can be detected at an early stage and analyzed in a targeted manner.
AI-supported algorithms support the evaluation of large amounts of data and automatically identify anomalies in production processes. The results are visualized in clear dashboards and create a transparent basis for data-based decisions.
One particular advantage is the flexible integration of a wide variety of systems. Machines can be connected quickly regardless of manufacturer or standardization - even older or heterogeneous systems. This creates a holistic picture of the entire production environment - without lengthy integration projects or additional cloud infrastructures.
Practical application at electronics manufacturer Fideltronik
The use at electronics manufacturer Fideltronik shows how companies can benefit from this transparency. The company uses the iTAC.Asset.Analyzer to consolidate production data from various systems and better analyze the performance of its production.
«For us as an EMS service provider, real-time transparency is crucial. Since the introduction of iTAC.Asset.Analyzer, we have achieved a level of control over the status of our production that was previously not possible. We were particularly impressed by how quickly systems can be connected - even non-standardized stations such as testing or painting systems,» explains Marcin Wnęk, COO of Fideltronik.
Individually configurable dashboards help the company to standardize processes, improve cycle times and reduce unplanned downtimes.
AI-supported access to production and empirical knowledge
In addition to analyzing data, structured access to production knowledge is also becoming increasingly important. With iTAC.CATi (Context Agent for Technical Insight), iTAC presents an AI-supported platform that links documentation, instructions and production data in perspective.
The chatbot provides this knowledge directly in production and in real time. Employees can ask questions in natural language and receive precise, context-related answers based on existing information.
«Many companies have production knowledge, but it is not available centrally at all times. With CATi, we bring it directly to the store floor. We provide a shared knowledge context from which employees can immediately derive answers and recommendations for action,» explains Andreas Zerfas, VP Product Management at iTAC. «Our approach stands out from many others in that we combine production data and knowledge sources into a shared decision-making basis - with full data sovereignty.»
The platform uses locally operated AI models, knowledge graphs and edge computing so that analyses can be carried out directly in the production environment and sovereignty over the data is maintained.
Integrated portfolio for data-driven production
The solutions presented are part of the integrated iTAC portfolio for digital manufacturing. The iTAC.MOM.Suite supports companies in the planning, control and monitoring of production processes in real time.
Together with its subsidiaries Dualis and Accevo, iTAC will be demonstrating at the Hannover Messe how production planning, analysis and process control can work together seamlessly to enable end-to-end digital processes - for greater transparency, higher efficiency and future-proof, data-driven production. The three companies will be presenting the solutions from April 20 to 24, 2026 in Hall 15, Stand E18.
Source: https://www.itacsoftware.com
This article originally appeared on m-q.ch - https://www.m-q.ch/de/vorschau-hannover-messe-entscheidungsintelligenz-in-der-fabrik/
