
5 Challenges for AI Projects in Manufacturing
Manufacturing companies have high hopes for AI. IFS highlights the five most common reasons why AI projects fail.

Manufacturing companies have high hopes for AI. IFS highlights the five most common reasons why AI projects fail.

Physical AI in industry: NTT DATA explains five critical security risks in sensor technology, AI models and networking as well as suitable countermeasures.

Digital twins instead of a flood of documents: Vertiv integrates 'SmartRun' into 'Nvidia Omniverse DSX' to accelerate the planning and implementation of AI factories.

Ionos and Q.ANT want to jointly advance photonic processor technologies for AI and high-performance computers. The aim of the partnership is to build energy-efficient and sovereign AI infrastructures in Europe.

AI automation specialist reorganizes...
After almost 30 years at the helm, Werner Weiss is handing over the management of Insiders Technologies. Andree Albrecht takes over the management after a transition phase.

With 'CheckMate', the University of Klagenfurt has developed an AI system that independently creates algorithms for complex combinatorics and optimization problems. The technology is designed to make industrial planning and logistics processes more efficient and outperform existing methods.

Many industrial companies are struggling with established plant structures and proprietary interfaces. Stefan Klaus' presentation will show in a practical way how brownfield environments can be efficiently networked with open technologies and made fit for Industry 4.0.

How can set-up processes in highly variant production be automated efficiently? Markus Benndorff from soffico shows how Factory-X, industrial data rooms and modular architectures create new possibilities for flexible production concepts.

AI and virtual twins for the industry
The French software group Dassault Systèmes has made a solid start to 2026 and is continuing to focus on artificial intelligence, cloud applications and virtual twins as growth drivers in its industrial business.

Siemens is launching 'Eigen Engineering Agent', an AI for automation technology. The solution is integrated into the TIA Portal, has been tested with over 100 companies and is designed to significantly accelerate engineering processes.