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PSI booth at CEBIT

Berlin, 1 June 2018 - PSI Automotive & Industry GmbH will be presenting its ERP and MES solutions as well as predictive maintenance from 11 to 15 June 2018 at the CEBIT in Hanover (Digital Enterprise Park, hall 17, booth C64/1). In addition, PSI FLS Fuzzy Logik & Neuro Systeme GmbH will show (booth C64/12) methods of Industrial Artificial Intelligence (AI) on the basis of the Java-based PSI framework and its cross-industry optimization software Qualicision.

Trade visitors can find out, how an ERP system can be implemented just in 70 days. This includes all basic components of the ERP standard PSIpenta for a complete order processing with design, sales including CRM function, materials management and planning, purchasing, work and production preparation, feedback as well as shipping and costing. Companies will receive cost certainty and are able to increase competitiveness.

With the solution Deep Qualicision, PSI FLS presents the trade fair novelty for the combination of Learning with Artificial Neural Networks, Machine Learning and Advanced Fuzzy-Logik with Qualicision. This solution concept based on AI methods efficiently learns how to determine and adjust parameters so that the most consistent decisions can be achieved. Therefore, with the use of AI, efficiency and savings potential can be identified and optimally realized. Within the framework of Industry 4.0 and Artificial Intelligence, software solutions from PSI have been successfully used industrially for many years.

Based on its own software products, PSI Group develops and integrates complete solutions for optimizing the flow of energy and materials for utilities (energy networks, energy trading, public transport) and industry (mining, metals production, automotive, mechanical engineering, logistics). PSI was founded in 1969 and employs more than 1,700 people worldwide.

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PSI AG published this content on 01 June 2018 and is solely responsible for the information contained herein. Distributed by Public, unedited and unaltered, on 01 June 2018 14:17:00 UTC