HANNOVER MESSE 2019,
01 - 05 April
Disturbing factor analysis and predictive machinery control for sustainable energy cost reduction.
Precise energy purchase & sale, also for renewable energy
Un-supervised self-learning artificial intelligence for highly accurate Analysis and prediction with half the deviation of established prediction tools.
In this way, predictive-optimized control of machinery and processes.
All this is achieved despite high volatility and high process / data complexity.
1) Automatic discovery of influencing and disturbing factors
2) Highly accurate predictions
3) Predictive control (machine2machine / machine2human)
--> Optimize complex processes predictively
--> With less efforts during project thanks part-automation of Data Scientist process
--> With scalable solution for roll out thanks Continuous Learning
Self-learning Artificial Intelligence for Industry 4.0
In production processes, quality has highest priority. On the one hand, this is done to optimize internal processes, on the other hand, quality makes the difference ...
Project report by ZF (published on Bitkom Big Data AI Summit)
The ZF plant Saarbrücken, Germany, manufactures around 11,000 transmissions per day. With 17 basic ...
In production, more and more data are available. Self-learning Artificial Intelligence provides future knowledge, now.
* Industry 4.0 / Internet of Things
Machine Learning is one of today's mega trends. Computers learn from data without being programmed for it.
Machine Learning can, on the one hand, make repeatable ...
More precise logistics resource planning & thus, significant reduced costs
Despite strong volatility and complex influences: Foresighted analytics ...
Unplanned production stop costs a lot of money, i.e. ca. 20,000 EURO / Minute in automotive industry!
Self-learning Artificial Intelligence analyzes data and ...
To generate electricity and heat for your own production saves money and reduces dependencies. Lucrative business is selling surplus energy at Energy Exchange - ...
Artificial Intelligence (AI) has developed significantly to enable RPA software for large-scale roll out in the future. Processes, executed by humans, can be automated ...