Optimizing predictive maintenance with AI
Predictive maintenance can reduce production plant downtimes by up to 50 percent and maintenance costs by 20 to 40 percent. At least according to McKinsey.
read more...read more...Reduce machine run-in times with simulation and AI
The SimKI project aims to use machine learning to evaluate data from real production in order to make the running-in processes of forming machines more efficient. Inneo is participating in the project with its IoT platform ThingWorx.
read more...Data security solutions no longer sufficient
According to a recent study by Dell, a majority of companies believe that their current data security solutions will not be sufficient for the future. Action is needed now, because data loss costs companies almost 900,000 euros per year.
read more...It goes on
Trade fairs are to take place again in the fall. This was only recently decided by politicians. But there is still a great deal of uncertainty among companies and people. This is shown by the exhibitor survey conducted by Messe Stuttgart.
read more...Knowledge advantage for the factory of the future
Machines that independently and proactively request maintenance before they threaten to break down. Production lines that provide real-time information about their current capacity utilization or energy consumption. These two examples are representative of many others that underline the great potential that the IT trend of the Internet of Things holds for the industry of the future.
read more...Weidmüller remains optimistic for 2020
In 2019, Weidmüller achieved growth of one percent compared to the previous year. Despite the coronavirus crisis and short-time working in the administrative area for the month of May, the company is cautiously optimistic about 2020.
read more...Why you should focus more on simulation
The use of simulation has undergone rapid development in recent years. This will continue in 2020, as software will undergo decisive changes in many areas this year and have a significant impact on the industry.
read more...From data to cognitive knowledge
Digitalization influences the success of companies. It is linked to disruptive concepts such as IoT, deep learning/machine learning, data analysis, big data, cloud and edge computing and thus to the all-encompassing artificial intelligence (AI).
read more...Energy chains monitor movement on the robot
Energy chain sensors from Igus monitor the movement of Güdel's linear robots and measure wear, making it possible to plan maintenance by recording and evaluating the data.
read more...Basics - Artificial intelligence
Artificial intelligence - definition, terms, application examples
What is artificial intelligence? This basic article explains the origins, explains subcategories such as machine learning, deep learning and reinforcement learning and provides an overview of current applications of the technologies.
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