Self-Learning Artificial Intelligence Has Reached Shop Floor
Estrel Convention Center, Berlin, Germany
09:20 - 09:40
Companies all around the world gather more and more data. But (big) data does not add value.
Self-learning Artificial Intelligence solutions find complex data patters and predict the future, give advice to machine operators or control machinery automatically.
This presentation shows shop floor projects for predictive quality optimization in production, i.e. Bosch or ZF, predictive energy optimization, i.e. Opel or EVO, or for predictive maintenance, i.e. Daimler or Siemens.
Speaker Biography (Britta Hilt)
Britta Hilt started at 1995 at IDS Scheer as international consultant. She worked for IDS Scheer until 2010, first as Core Service Manager for ARIS Software Trainings, then, as Senior Manager for ARIS Product Consulting and Solution Manager for ARIS Solution with top sales turnover. Then, Ms Hilt took over responsibility in Product Management for ARIS Platform products with top sales turnover and as Director in Product Management and Solution Marketing at IDS Scheer / Software AG.
In 2011, she became co-founder of IS Predict and since then, has been Managing Director, being responsible for Marketing and Sales.
Company Profile (IS Predict GmbH)
IS Predict is a leading Artificial Intelligence (AI) solutions provider for Industrial IoT. Standard software PREDICTIVE INTELLGENCE with its self-learning algorithms optimizes complex industry processes, like for Daimler, Opel, Siemens, BASF, German Rail, NTT Facilities, T-Systems, ...
In contrast to other AI solutions PREDICTIVE INTELLIGENCE also discovers root causes. With this transparency, processes can be optimized sustainably. In addition, highly accurate predictions are realized in complex processes, simulations for what if-scenarios are done and 24/7 predictive control as recommendations to machine operator or machine-to-machine-control.
Solutions are available for Predictive Quality in Production, Predictive Maintenance Predictive Energy Optimization, ..
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