"Use Cases for Generative AI" Workshop
Our "Use Cases for Generative AI" workshop is designed to give you a jump-start on acquiring an understanding of AI and identifying specific applications for it in your company. During our preparations, we conduct interviews with selected people in your company to gain an understanding of your processes and identify potential bottlenecks.
The one-day workshop itself starts with an overview of the basics of NLP and AI. After laying the foundation, we move on to a more in-depth discussion and prioritization of possible use cases. Working with you, we shed light on the benefits, feasibility, effort and risks of the use cases identified.
You will receive a detailed report at the end of the workshop. This describes the highest prioritized use cases and suggests concrete next steps.
Distinctive Texts Despite the Use of AI
How to Ensure a Distinctive Identity
How original can content generated with AI tools like ChatGPT be? How interchangeable are texts created by artificial intelligence? Despite all the buzz about the opportunities of generative AI, the impact on the distinctiveness of one's own texts is often overlooked. Keeping this in mind, our task is to show how to prevent the loss of a company's distinctive identity when using AI.
Quality Assurance for Generative AI
Knowing and Acknowledging the Properties of Generative AI
Generative AI has enormous creative potential. But it is also fickle and opaque. When using generative AI, it is important to be aware of the properties of generative AI and to take accompanying measures into account to ensure the quality of the results.
Leveraging Synergies
Recognizing Connections and Fully Exploiting the Advantages
Different parts of a company can quickly become fascinated by the possibilities offered by generative artificial intelligence. However, this can quickly lead to a multitude of isolated solutions. It is therefore essential to be aware of the overarching connections and to recognize potential synergies.
With this awareness, strategic solutions can be developed that yield higher performance by leveraging synergies. At the same time, operating costs can be reduced by pooling shared resources.
Flexibility for Future-Proof Solutions
Keeping Sustainability and Independence in Mind
Advances in the field of generative artificial intelligence (AI) are happening at a rapid pace and changes to the regulatory framework can also be expected. In this dynamic environment, it is imperative to approach the planning and deployment of AI with caution and foresight. The goal should be to create sustainable resources and flexible solutions that are not tied to a specific AI provider.
Regulatory Requirements
Taking Privacy, Copyright, and Liability Issues into Account
The use of AI in companies raises questions regarding privacy, copyright protection and liability issues. In terms of privacy, it is important to ensure that all data processed by AI is handled in accordance with applicable laws and regulations, such as the GDPR in Europe. Copyright protection plays an important role when AI is used to create content, and it must be clarified who holds the rights to these products. Finally, liability issues can arise when decisions based on AI algorithms cause harm or infringe upon legal obligations.
Your Contact Person
Our specialists in AI help with all prompt engineering questions.
E-mail+49 (0) 721 6677570