In today’s digital era, artificial intelligence (AI) and machine learning are no longer abstract concepts. They have evolved into powerful tools that assist businesses in increasing efficiency, reducing costs, and developing innovative solutions. One of the most exciting AI models is GPT (Generative Pre-trained Transformer), which is making its way into various forms within enterprises. In this blog post, we will explore the various aspects of integrating Chat-GPT into corporate life and how businesses can benefit from this technological shift.
Chat-GPT - Overview
Before delving deeper into the topics, let’s briefly understand what Chat-GPT is and how it can be integrated into a company.
Chat-GPT is an application of GPT specifically designed for interacting with human users. It enables natural language conversations between humans and machine systems. This technology can be utilized in various ways, from customer support and knowledge management to process automation.
Introducing Chat-GPT into the Company: How to Initiate a Project?
The first step in introducing Chat-GPT into your company is to launch a project. This requires a clear strategy and planning. You need to identify the areas of application where Chat-GPT can be most effectively utilized and allocate the resources required for development and implementation.
Chat-GPT - Design Thinking - Who Can Benefit How. Finding and Designing Business Cases.
To fully harness the potential of Chat-GPT, it’s crucial to employ Design Thinking. This means putting the needs and expectations of your customers and employees at the forefront and developing solutions that provide real value. This should also involve finding and designing business cases to quantify the economic benefits.
GPT Workshop at VDMA - Our Conclusion
A survey* among participants reveals that 54% of companies with 100-500 employees are already using AI, while 25% have not yet explored the topic.
The areas where the greatest benefits are seen from GPT are diverse:
- Knowledge Management: GPT can help quickly and systematically locate existing knowledge.
- Sales: Analyzing customer specifications and optimizing sales processes.
- Development: Knowledge management and support in development processes.
- Service: Self-service on machines, fault acceptance, and customer service.
- Human Resources and Legal: Efficient administration and support for legal matters.
- Procurement: Support in procurement and supplier management.
- Customer Consultation: Enhancing customer support and master data management.
- IT and Product Management: Integrating Chat-GPT into work processes and programs.
- Technical Documentation: Creating documentation and manuals.
Questions on Our Customers’ Minds
- Initial Demonstrators: How can successful implementation of initial demonstration projects be achieved?
- Proven Use Cases: In which application scenarios has the use of GPT already proven itself?
- Software Solutions: What tools are available in an isolated corporate cloud for creating custom chatbots?
- Risks and Data Privacy: What risks and data privacy aspects should be considered when using GPT?
- Quality of Results: Are there measures to improve the quality of results from GPT, and what insights can be gained from the collected data?
- Data Management: How are the data shared with Chat-GPT handled, and what risks exist regarding data privacy and data sharing?
- Reliability and Accuracy: How is the reliability and accuracy of statements generated by Chat-GPT currently assessed?
- Employee Motivation: How can acceptance of Chat-GPT be increased in your company, and how can employees be motivated to use it effectively?
- System Integration: What possibilities and risks are involved in integrating Chat-GPT into existing systems and processes?
Looking Ahead to Future Topics
The integration of AI and Chat-GPT is just the beginning. In the future, the following topics may come into focus:
- Use of Cobots in Assembly Manufacturing and AI in Mechanical Engineering: How can collaborative robots and AI models be used in the manufacturing industry?
- Product Compliance: How can AI support compliance with product standards and regulations?
- Alternatives to Chat-GPT: What other AI models and technologies can be used in various use cases?
- Implementation and Costs of AI: How can AI solutions be efficiently introduced into companies, and what costs are associated with them?
- Predictive Maintenance: How can AI be used for preventive maintenance of machinery and equipment?
- Integration into Other Applications: How can AI models be seamlessly integrated into existing applications?
The world of artificial intelligence and machine learning is constantly evolving, and companies that adapt and leverage these technologies will remain competitive and offer innovative solutions to their customers. Chat-GPT is just one example of the exciting possibilities that AI offers.
Here is the video from the VDMA event on September 12, 2023.
*based on the VDMA survey from 12.09.2023