Successfully implementing ChatGPT in your company

Save time, increase efficiency. Using ChatGPT in your company can bring many benefits for employees and managers alike. Those who work with it quickly realise how fast and effective GPT-3 is. Used correctly, ChatGPT can make everyday work in companies more sustainable. But as with any technology, there are opportunities and risks. Read on to find out what these are and how you can use ChatGPT successfully.

ChatGPT is a language model developed by the US company OpenAI. The three words behind GPT reveal how the AI works: Generative Pretrained Transformer.

GPT is a specific type of large language model (LLM). Large language models use machine learning and artificial intelligence to conduct human-like conversations and solve complex tasks.

GPT can be used in various areas of business, such as:

GPT is currently being used to develop user-friendly and interactive chatbots and voice assistants.

GPT enables companies to increase their productivity by optimising normal, everyday work processes. For example, it serves as an interactive assistant that helps solve problems or search for information. The model can provide instructions, step-by-step guidance and recommendations.

It becomes really interesting when GPT is linked to company data. But be careful: GPT is only as good as the data it works with. This means that companies only benefit from GPT if the data quality is right or if the data has been processed appropriately beforehand.

It is therefore important to develop and define clear goals and consider how and where GPT can be a real help in the company. To do this, it makes sense to identify the areas where automated support adds value.

GPT in ChatGPT stands for ‘Generative Pre-trained Transformer’. The main feature of GPT is its ability to generate natural language text.

‘Generative’ means that the model is capable of generating new text that is similar in style and content to the text it was trained on. It can generate meaningful and coherent text that appears to have been written by a human.

‘Pre-trained’ means that the model is trained in advance on a large amount of text data. This allows it to develop a broad understanding of language and context. During this training process, the model captures the statistical patterns, structures and relationships of our language.

‘Transformer’ refers to the underlying architecture of the neural network. Transformers are special network structures that are optimised to process sequences such as sentences or paragraphs. They enable the model to process information across the entire text context and establish dependencies between words or sentences.

Many companies are already using ChatGPT to increase efficiency, improve customer service, optimise data structures and speed up processes. Here are a few examples of successful new GPT applications:

Further details on these and other exciting areas of application for ChatGPT in companies can be found in our white paper ‘Bringing GPT to your company’.

If you ask ChatGPT itself about its data protection risks, you will receive the following response: Keep an eye on potential challenges such as data protection, ethical issues and the limitations of the model.
ChatGPT logs prompts in the USA and filters results. It is intended for private users. It is not really suitable for internal or external business applications (B2B and B2C).

OpenAI openly states that it uses the data entered and the interactions with the chatbot to train new model variants. If sensitive or confidential company data is used, it may find its way into the next generation of language models. Therefore, careful consideration should be given to whether ChatGPT is the right model for use as a business tool in your company.

Yes, with GPT on Azure (Microsoft Cloud). Microsoft is currently the only company offering hosted OpenAI GPT models in Europe. Since 5 May 2023, Microsoft has been operating GPT (‘Azure OpenAI Service’) as an Azure Core Online Service in the EU in compliance with the GDPR and the Azure Data Protection Addendum. Data is encrypted in the Microsoft Azure Cloud. Companies already using the Azure Cloud can easily try out GPT.

The Azure OpenAI Service runs entirely within the Azure infrastructure and does not use any OpenAI APIs. Microsoft also guarantees that the language model remains in the company's cloud environment. When configured correctly, no inputs are logged by GPT on Azure (as has been the case with ChatGPT from OpenAI).

If you are considering whether ChatGPT has potential for your company or whether GPT can add value to your business, just give it a try! It is best to start with data that has already been published and/or is not sensitive.

ChatGPT can increase productivity and optimise work processes in companies. However, it is important to define clear goals, determine the scope of application and ensure data quality. Data protection and ethical issues must also be taken into account. The Azure OpenAI Service GPT can be an alternative for data protection-compliant solutions. The decision as to whether GPT or ChatGPT is suitable for your company depends on your individual requirements and circumstances.