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Knowledge management and organizational structure:

Posted: Sat Feb 01, 2025 5:26 am
by Reddi2
Automated processes created by linking GPT with company data save time and money. For example, repetitive tasks such as writing reports or emails can be automated. GPT can take over routine tasks, allowing employees to focus on more complex and value-added activities.

Of course, these are just a few examples and can be expanded as desired depending on the industry and your own data.

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CompanyGPT - Using ChatGPT with your own data (Guide) 3
challenges and solutions
Although there are already some solutions and options ecuador phone number data on the market, you should also think about your individual challenges if you want to launch an in-house ChatGPT.

Challenge 1: Data protection and data security
Using GPT models carries the risk of exposing sensitive company data. This is especially relevant in industries with strict data protection regulations. Despite the benefits, privacy is an important consideration. ChatGPT uses the input data and interactions to train their models, which carries risks to sensitive company data.

Solution : Use of cloud services such as Microsoft Azure , which are specifically designed for the European market and guarantee compliance with the GDPR. In addition, data encryption should be ensured both during transmission and storage. These are precisely the solutions we use at Spekto .