Weidmüller Industrial AutoML - Profitieren Sie von Machine Learning ohne Data Science Kenntnisse
Summary
TLDRThe video script introduces Weidmüller's machine learning solutions designed to simplify the adoption of ML in industrial settings. It highlights the benefits for machine builders and manufacturing companies, such as enabling new data-based services and higher productivity levels. The tool is user-friendly, requiring no data science knowledge, and allows teams to import machine or process data to identify normal and abnormal behavior. By leveraging domain knowledge, users can select models based on performance and plausibility, deploy them on-premises or in the cloud, and continuously improve model performance. This intuitive solution facilitates the integration of ML into existing infrastructure, making it easier than ever to enhance machine productivity and monitor product quality.
Takeaways
- 🤖 Machine learning offers numerous advantages for machine builders and manufacturing companies, including new data-based services and higher productivity levels.
- 📈 Machine learning requires data tests to ensure its effectiveness, which is a crucial step in the process.
- 🛠 Weidmüller introduces a machine learning solution that does not require any data science knowledge from the team.
- 🔧 The tool provides machine learning competencies to the company by allowing them to import their machine or process data.
- 📊 The tool identifies normal and abnormal behavior based on the company's domain knowledge and creates a selection of models.
- 🔍 Users can select the appropriate model based on criteria such as model performance and plausibility.
- 🌐 The selected model can be directly implemented, offering flexibility and platform independence, whether in the cloud or on-premises.
- 🚀 The model provides information to detect anomalies and avoid process or machine failures, enhancing operational efficiency.
- 🔧 Users can leverage their domain knowledge to continuously improve the performance of the model.
- 💡 Weidmüller's solution enables machine builders to offer new data-based services without the need for data science support.
- 📈 Manufacturing companies can increase the productivity of their machines and efficiently monitor product quality with this solution.
- 👍 The tool is intuitive and easy to operate without additional training, allowing for seamless integration into existing infrastructure.
- 🚀 The tool accelerates and simplifies the deployment of machine learning in the industry, making it more accessible than ever.
Q & A
What are the benefits of machine learning for machine builders and manufacturing companies mentioned in the script?
-The script mentions that machine learning offers numerous advantages such as new data-based services and the ability to achieve a higher level of productivity.
What is the prerequisite for machine learning as stated in the script?
-According to the script, data tests are always required for machine learning.
What is the solution presented by Weidmüller for machine learning?
-Weidmüller presents a machine learning solution that equips a company with the necessary machine learning competencies without requiring any prior knowledge in data science.
How does the Weidmüller tool help in identifying normal and abnormal behavior of machines?
-The Weidmüller tool allows users to import their machine or process data and then, based on domain knowledge, it identifies normal and abnormal behavior.
What does the tool do with the imported data?
-The tool creates a selection of models based on the user's inputs, from which they can choose the appropriate model based on criteria such as model performance and plausibility.
How flexible is the application of the model after selection?
-The application of the model is highly flexible and platform-independent, allowing it to be deployed either in the cloud or on-premises.
What kind of information does the model provide after deployment?
-The deployed model provides information that enables the detection of anomalies and helps in avoiding process or machine failures.
How can machine builders use the Weidmüller solution to offer new data-based services?
-Machine builders can use the intuitive Weidmüller tool to offer new data-based services without the need for support through data science tests.
What is the impact of using the Weidmüller solution on manufacturing companies?
-Manufacturing companies can increase the productivity of their machines and efficiently monitor product quality using the Weidmüller solution.
How user-friendly is the Weidmüller tool according to the script?
-The script describes the Weidmüller tool as intuitive and easy to operate without additional training, allowing for easy integration into existing infrastructure.
What is the final call to action presented in the script regarding the Weidmüller tool?
-The script encourages trying out the Weidmüller tool for oneself to experience the simplification and acceleration of machine learning deployment in the industry.
Outlines
🤖 Machine Learning Solutions for Industry
The script introduces the benefits of machine learning for machine builders and manufacturing companies, highlighting how it can offer new data-based services and increase productivity. It emphasizes that machine learning requires data and tests to be effective. The focus then shifts to presenting Weidmüller's machine learning solutions, which are designed to be user-friendly and do not require data science knowledge. The tool allows users to import machine or process data, identify normal and abnormal behavior, and create models based on domain knowledge. Users can select the most suitable model based on performance and plausibility, and then apply it directly, either in the cloud or on-premises. The tool also helps in avoiding anomalies and machine failures by leveraging domain knowledge to continuously improve model performance. The script concludes by stating that Weidmüller's solution makes it easy for machine builders to offer new data-based services and for manufacturing companies to enhance machine productivity and monitor product quality efficiently. The tool is intuitive and can be easily integrated into existing infrastructure, making machine learning more accessible than ever before.
Mindmap
Keywords
💡Machine Learning
💡Data Science
💡Productivity Level
💡Weidmüller
💡Machine or Process Data
💡Domain Knowledge
💡Model Performance
💡Anomalies
💡Cloud
💡Intuitive Tool
💡Infrastructure Integration
Highlights
Machine learning offers numerous advantages for machine builders and manufacturing companies.
It provides new data-based services and enables a higher level of productivity.
Machine learning always requires data and tests.
We would like to introduce the Weidmüller machine learning solutions.
This solution does not require any knowledge of data science from your team.
The tool provides machine learning competencies needed for your business.
You simply import your machine or process data.
The tool then identifies normal and abnormal behavior based on domain knowledge.
It creates a selection of models based on your inputs.
You can then select the appropriate model based on criteria such as model performance and plausibility.
The model can be directly implemented very flexibly and independently of the platform.
You can use your model in the cloud or on-premises.
The model now provides information that allows you to detect anomalies and avoid process or machine failures.
You can use your domain knowledge to continuously improve the performance of the model.
This Weidmüller solution enables machine builders to offer new data-based services without the need for data science tests.
Manufacturing companies can thus increase the productivity of their machines and efficiently monitor product quality.
The best thing is that the tool is intuitive and easy to operate without additional training.
It allows for easy integration into your infrastructure.
Machine learning has never been so easy in the industry.
The tool accelerates and facilitates the use of ML in the industry.
Try it out for yourself today.
Transcripts
[Musik]
der einsatz von maschinen learning hat
zahlreiche vorteile für maschinenbauer
und produzierende unternehmen
er bietet neue daten basierte services
und ermöglicht ein höheres
produktivitätsniveau bestimmt sind für
machine learning immer data seien tests
erforderlich
wir möchten ihnen die orte matt machine
learning lösungen von weidmüller
vorstellen
mit dieser lösung braucht ihr team
keinerlei kenntnisse in data science da
das tool ihrem unternehmen die maschinen
learning kompetenzen liefert die es
benötigt sie importieren einfach ihre
maschinen oder prozessdaten und
identifizieren dann normales und an
normales verhalten basieren auf ihrem
domänen wissen
das tool erstellt anhand ihrer eingaben
eine auswahl an modellen aus diesen
können sie dann nach kriterien wie
modell performance und plausibilität das
passende modell auswählen
im anschluss können sie das modell
direkt einsetzen
dies geschieht höchst flexibel und
unabhängig von der plattform
sie können ihr modell in der cloud oder
vor ort einsetzen
das war schon das modell liefert ihnen
nun informationen die es ihnen
ermöglichen anomalien zu erkennen und
prozess oder maschinen ausfälle zu
vermeiden
zudem können sie ihr domänen wissen
nutzen um die performance des modells
kontinuierlich zu verbessern
diese lösung von weidmüller ermöglicht
es maschinenbauern neue daten basierte
services ohne unterstützung durch data
seien tests anzubieten produzierende
unternehmen können so die produktivität
ihrer maschinen steigern und die
produktqualität effizient überwachen
das beste daran das tool ist intuitiv
und ohne zusätzliche schulung zu
bedienen und lässt sie spielen leicht in
ihre infrastruktur integrieren
noch nie war machine learning so einfach
das tool beschleunigt und erleichtert
den einsatz von ml in der industrie
ungemein
probieren sie es gleich heute selbst aus
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