CONTACT Elements for IoT – smarter through AI
Increase efficiency, reduce costs, improve quality
Smart IoT solutions through AI
Artificial intelligence enables manufacturing companies to produce more efficiently, save costs, and develop new, innovative services. CONTACT Elements for IoT provides the foundation for this. The open, Python-based platform collects and links all the data generated in your IT and OT systems throughout the entire product lifecycle. CONTACT Elements allows you to embed AI in manufacturing in a quick, structured, and flexible manner.
Benefits
- Increase efficiency in production
- Transform asset management
- Improve and expand customer service
- Elevate product and process quality
- Take advantage of individual AI consulting
Integrating artificial intelligence into Elements for IoT
Increase efficiency in production
CONTACT Elements for IoT enables you to integrate specific algorithms and models for your AI use cases. It paves the way for automated processes as well as AI-based trend analyses, simulations, and forecasts. This allows you to increase production efficiency and optimize your production control. Energy management and supply chain management also benefit: For example, your company can optimize the scheduling of production orders regarding energy consumption or supply chain requirements. You use resources more efficiently and increase the resilience of your supply chain.
Increase efficiency in production
CONTACT Elements for IoT enables you to integrate specific algorithms and models for your AI use cases. It paves the way for automated processes as well as AI-based trend analyses, simulations, and forecasts. This allows you to increase production efficiency and optimize your production control. Energy management and supply chain management also benefit: For example, your company can optimize the scheduling of production orders regarding energy consumption or supply chain requirements. You use resources more efficiently and increase the resilience of your supply chain.
CONTACT Elements for IoT enables you to integrate specific algorithms and models for your AI use cases. It paves the way for automated processes as well as AI-based trend analyses, simulations, and forecasts. This allows you to increase production efficiency and optimize your production control. Energy management and supply chain management also benefit: For example, your company can optimize the scheduling of production orders regarding energy consumption or supply chain requirements. You use resources more efficiently and increase the resilience of your supply chain.
Transform asset management
Artificial intelligence identifies anomalies in large amounts of data. By analyzing current and historical operating data, AI technologies based on machine learning detect outliers and irregularities that indicate problems with your assets. This transparency facilitates new approaches for organizing service and maintenance: Instead of scheduling service preventively, you now receive automatic notifications indicating when a machine or plant needs maintenance. You react proactively to problematic developments (predictive maintenance), enabling you to maximize the performance and availability of your assets.
Transform asset management
Artificial intelligence identifies anomalies in large amounts of data. By analyzing current and historical operating data, AI technologies based on machine learning detect outliers and irregularities that indicate problems with your assets. This transparency facilitates new approaches for organizing service and maintenance: Instead of scheduling service preventively, you now receive automatic notifications indicating when a machine or plant needs maintenance. You react proactively to problematic developments (predictive maintenance), enabling you to maximize the performance and availability of your assets.
Artificial intelligence identifies anomalies in large amounts of data. By analyzing current and historical operating data, AI technologies based on machine learning detect outliers and irregularities that indicate problems with your assets. This transparency facilitates new approaches for organizing service and maintenance: Instead of scheduling service preventively, you now receive automatic notifications indicating when a machine or plant needs maintenance. You react proactively to problematic developments (predictive maintenance), enabling you to maximize the performance and availability of your assets.
Improve and expand customer service
CONTACT Elements for IoT provides you with tools to implement algorithms and AI applications in customer service. Approaches like predictive maintenance allow you to minimize machine downtimes and outages for your customers, as maintenance measures are performed at the ideal time. Based on this, you can design new service and contract models. The use of large language models has also proven its worth in the industrial environment: for example, chatbots that research objects such as tickets and documents for employees or point customers to similar problems that have already been solved in response to service requests. This relieves your team of routine tasks and simplifies troubleshooting during ongoing operations.
Improve and expand customer service
CONTACT Elements for IoT provides you with tools to implement algorithms and AI applications in customer service. Approaches like predictive maintenance allow you to minimize machine downtimes and outages for your customers, as maintenance measures are performed at the ideal time. Based on this, you can design new service and contract models. The use of large language models has also proven its worth in the industrial environment: for example, chatbots that research objects such as tickets and documents for employees or point customers to similar problems that have already been solved in response to service requests. This relieves your team of routine tasks and simplifies troubleshooting during ongoing operations.
CONTACT Elements for IoT provides you with tools to implement algorithms and AI applications in customer service. Approaches like predictive maintenance allow you to minimize machine downtimes and outages for your customers, as maintenance measures are performed at the ideal time. Based on this, you can design new service and contract models. The use of large language models has also proven its worth in the industrial environment: for example, chatbots that research objects such as tickets and documents for employees or point customers to similar problems that have already been solved in response to service requests. This relieves your team of routine tasks and simplifies troubleshooting during ongoing operations.
Elevate product and process quality
With Elements for IoT, you not only monitor, connect, and analyze individual machines and plants. You control fleets of devices and production environments. Analyzing their operating and usage data with AI provides you with insights that enable you to improve products and manufacturing processes. You get alerted about product quality issues and can address them in quality assurance and development. Additionally, monitoring the manufacture of your products via video generates images that artificial intelligence can scan for anomalies in (almost) real time. This allows you to detect errors that impair the production process at an early stage.
Elevate product and process quality
With Elements for IoT, you not only monitor, connect, and analyze individual machines and plants. You control fleets of devices and production environments. Analyzing their operating and usage data with AI provides you with insights that enable you to improve products and manufacturing processes. You get alerted about product quality issues and can address them in quality assurance and development. Additionally, monitoring the manufacture of your products via video generates images that artificial intelligence can scan for anomalies in (almost) real time. This allows you to detect errors that impair the production process at an early stage.
With Elements for IoT, you not only monitor, connect, and analyze individual machines and plants. You control fleets of devices and production environments. Analyzing their operating and usage data with AI provides you with insights that enable you to improve products and manufacturing processes. You get alerted about product quality issues and can address them in quality assurance and development. Additionally, monitoring the manufacture of your products via video generates images that artificial intelligence can scan for anomalies in (almost) real time. This allows you to detect errors that impair the production process at an early stage.
Take advantage of individual AI consulting
If you want to implement artificial intelligence in manufacturing, there are already numerous options available today. Ideally, you should focus on use cases that are easy to implement in your production environment and offer the greatest added value. Together with us, you find out which these are and how best to proceed: We support you in identifying potential use cases and qualifying them with a proof of concept. This way, your AI systems achieve measurable benefits as quickly as possible.
Take advantage of individual AI consulting
If you want to implement artificial intelligence in manufacturing, there are already numerous options available today. Ideally, you should focus on use cases that are easy to implement in your production environment and offer the greatest added value. Together with us, you find out which these are and how best to proceed: We support you in identifying potential use cases and qualifying them with a proof of concept. This way, your AI systems achieve measurable benefits as quickly as possible.
If you want to implement artificial intelligence in manufacturing, there are already numerous options available today. Ideally, you should focus on use cases that are easy to implement in your production environment and offer the greatest added value. Together with us, you find out which these are and how best to proceed: We support you in identifying potential use cases and qualifying them with a proof of concept. This way, your AI systems achieve measurable benefits as quickly as possible.
Artificial Intelligence in PLM
In this article, CONTACT's AI team presents a new PLM application for semantic search based on an LLM (Large Language Model). It describes its journey from the initial idea to finding a solution. The authors also provide insights into the stumbling blocks of AI projects. They also provide tips to help you successfully implement such projects.
Artificial Intelligence in PLM
In this article, CONTACT's AI team presents a new PLM application for semantic search based on an LLM (Large Language Model). It describes its journey from the initial idea to finding a solution. The authors also provide insights into the stumbling blocks of AI projects. They also provide tips to help you successfully implement such projects.
In this article, CONTACT's AI team presents a new PLM application for semantic search based on an LLM (Large Language Model). It describes its journey from the initial idea to finding a solution. The authors also provide insights into the stumbling blocks of AI projects. They also provide tips to help you successfully implement such projects.
We are advancing artificial intelligence in the industry
CONTACT established a research team in 2019 that focuses on AI solutions for the future of engineering and production. In close collaboration with experts from industry and academia, the team works on research projects aligned with political initiatives such as Industry 4.0 or the European Green Deal. Projects like the AI Marketplace, funded by the German Federal Ministry of Education and Research (BMBF), involve applied research as well as the development of technologies and methods that help the industry manufacture more efficiently.
Research network
CONTACT participates in associations, initiatives and research cooperations for the development of open source software, industry standards and sustainable technologies.
