AI implementation: machine learning for industry
Artificial intelligence has made rapid strides in recent years and garnered global attention through breakthroughs in large language models. But AI is far more than just text processing—it is a key technology that is already laying the foundation for the industry of tomorrow. For small and medium-sized enterprises, this presents enormous potential, but also the critical challenge of not falling behind in the global marketplace. Those who rely solely on buzzwords instead of understanding the underlying mechanisms are squandering valuable innovative potential.
The key to success lies in a solid understanding of machine learning (ML) and deep learning. In this format, we make AI tangible for you: from development all the way to the independent implementation of your first algorithms. We guide you through the entire process—from data collection to identifying specific application areas and limitations within your own company—so that you understand AI not just as a trend, but as a real tool.
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- In-depth expertise: you will learn the concepts, data collection, algorithms, and key technologies of machine learning from the ground up.
- Objective assessment: you will gain the ability to realistically assess the opportunities, risks, and technological limitations of intelligent algorithms and avoid missteps.
- Practical skills: by independently applying ML methods and working on real-world examples, you will be able to identify specific areas of application within your own company.
- Strategic orientation: you will gain valuable key takeaways to help you stay attuned to technological shifts and develop a clear roadmap for the use of AI in your value chain.
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The content is designed for specialists and managers who want to develop, integrate, or oversee AI systems.
- Requirements Engineers and Systems Engineers
- Software developers
- SME managers, particularly those in the manufacturing sector
- Product Owners and Project Managers
- Specialists and managers in the fields of digital transformation, IT, and innovation
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- Format & delivery
- Format: webinar / workshop / training
- Duration: flexible (e.g., ½ day)
- Delivery: online or in-person
- Practical component: high, with examples and specific application scenarios
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The format can be customized to suit your organization’s specific needs—for example, by:
- Incorporating your specific use cases
- Adapting to your industry or project type
- Delving deeper into specific methods or tools
