Speaker

Manufacturing x GenAI – Opportunities and Challenges

In the last year, numerous companies have started to implement GPT-based solutions that operate on their proprietary data to optimize internal processes, such as in marketing or human resources, and to develop innovative solutions. However, few of these companies use their production data or core expertise, such as construction data or machine programs, for working with generative AI. This represents a missed opportunity, as precisely these data have the potential to drive significant efficiency gains and innovations.

Generative AI offers immense opportunities for the manufacturing industry, from accelerating design to optimizing manufacturing processes. For instance, using GPT technologies to analyze and optimize construction data can revolutionize product development by enabling faster iterations and adjustments to customer needs. Similarly, applying it to machine programs can increase production efficiency by optimizing machining times and material consumption.

Despite these potentials, companies face challenges in integrating these advanced technologies into their core business processes. Technical barriers, data privacy concerns, and a lack of expertise are just a few of the obstacles that need to be overcome.

This presentation outlines simple ways companies can effectively use their core expertise for the deployment of generative AI. Overcoming existing challenges requires strategic planning, investments in employee training, and a culture that promotes openness to technological innovations. Companies that take these steps can not only boost their productivity and efficiency but also assume a leadership role in the digital transformation of the manufacturing industry.