Problem statement
Many regional companies struggle to fully utilize the potential of AI and data-driven technologies. The challenges often include a lack of expertise, limited access to testing environments, and concerns about data management and security. These barriers prevent businesses, especially SMEs, from leveraging AI to enhance efficiency, drive innovation, and remain competitive in an increasingly digital economy. A plastic packaging company utilized virtual infrastructure to explore the potential of AI for enhancing business processes. They intended to conducted experiments on use cases such as automating customer inquiries and streamlining internal documentation workflows.
Main outcome
A plastic packaging company used the virtual infrastructure to experiment with large language models (LLMs) and assess their applicability to business processes. They tested use cases such as automating customer inquiries and optimizing internal documentation workflows. Employees interacted directly with the models, gaining valuable insights into their functionality and exploring the practical benefits for their operations.
The infrastructure, designed to comply with Industry 4.0 standards, offered a secure, data protection-compliant environment where both experimentation and application could be experienced firsthand. This allowed the company to simulate real-world scenarios and evaluate the costs associated with implementing and maintaining AI-driven solutions.
By using this approach, the company gained a clear understanding of how AI could enhance efficiency, engage employees in digital innovation, and support informed decision-making for sustainable and competitive advancements in their industry.
