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Design suggestions of electrical machines, Dimensions, Calculation methods, Materials, Cost-optimal desgin
Target Audience
Machine Integrators, Manufacturers of Electrical Machines, Product Designers, Mechanical Designers
For companies and organizations, the participation of their employees ensures compliance with Article 4. This applies especially to those who use AI systems as a supporting tool without requiring deeper technical knowledge. For the participants themselves, the training offers the opportunity to specifically expand their competencies in dealing with AI. This is done in a practical and understandable manner. No prior technical knowledge is required. A participation certificate following the training confirms the acquired knowledge.
Target Audience
This training is specifically aimed at professional users of AI systems who have no technical prior knowledge and primarily use AI-powered tools as work instruments. The content is designed at an introductory level and conveys a solid foundational knowledge of the requirements of Article 4 of the EU AI Act.
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Hardware/Software AI Deployment recommendation report
Target Audience
Manufacturing and industrial automation industries. Teams who are deploying AI for machine vision, quality inspection, predictive maintenance, robotics, and real-time process control, need efficient, on-device inference.
Report with all identified shortcuts and errors in the decision logic and related countermeasures.
Target Audience
Target Audience
AI-Provider, AI-User
The customer receives a structured audit report with a rating per criterion, identified weaknesses and prioritized recommendations. For a Deep Audit, the report also includes statistical analyses and quantified findings.
Target Audience
Open for anyone
Validate the applicability, scalability, and adaptability of the AI-driven solution across different manufacturing processes. Demonstrate impact of the applied technology
Target Audience
Manufacturing companies that what to unlock potential of data to improve decision making, optimise operations, enhance machine health, with explicit attention to machine-human interaction and scalability.
Report describing model deployment robustness risks
Target Audience
Widely applicable
1) analysis of suitability of different computational architectures for AI implementation
2) optimization of AI algorithms implementation for affordable use on industrial HW
Target Audience
N/A
Test results/Feasability Report/Recommendation Report/Synthetic Training Dataset/Trained Model
Target Audience
Vision AI Providers that want to employ better vision AI models but lack sufficient amount of data.
Test results/Feasability Report/Recommendation Report on Machine Vision System under test
Target Audience
Machine Vision System Providers, Machine Vision System Users, Computer Vision Software Providers, Computer Vision Software Users
Report with assessment results and, where relevant, with suggested XAI methods. Optionally the implementation of those methods.
Target Audience
Open for anyone with a (nearly) finished AI application
Prototype
Target Audience
Companies/SMEs with a concrete implementation idea with a successful Quick Check/proof of concept
Increased accuracy in data extraction, reduced manual effort, faster access to structured information, improved data management, and streamlined decision-making processes.
Target Audience
Manufacturing & Automotive; especially solution providers for management large volumes of technical, operational, or transactional documents (e.g. operations, supply chain, procurement)
Supporting SMEs in the test of AI based solutions for manufacturing applications
Target Audience
Providers of AI based solutions
The customer receives a structured audit report with a rating per criterion, identified process and governance gaps, and recommendations for improvement and risk mitigation. For a Deep Audit, the report also includes evidence-based findings, a gap analysis and an action plan. The audit assesses whether the organization’s processes and management structures are suitable for meeting applicable requirements. It does not assess the quality of individual datasets or the technical properties of specific AI models and does not perform the organization’s risk management activities on its behalf.
Target Audience
Open for anyone