Challenges and opportunities in working with AI

Data protection and security

Dealing with sensitive data

Data protection is an important issue when using artificial intelligence (AI). Many companies have concerns about security and data protection when using AI. However, Stefan Häming emphasizes that a pragmatic approach should be taken here. While sensitive company data must be handled with care, much of the content used on public websites is less problematic.

Pragmatism in data protection

Häming notes that modern cars often collect and send much more sensitive data without raising major concerns. In comparison, the use of AI to generate public content is less critical. Nevertheless, companies must ensure that they do not pass on sensitive data to insecure or uncontrolled AI systems. This includes, for example, the use of AI to process confidential company information or personal data.
A concrete example would be the implementation of AI in an HR department to analyze employee data. Here, companies should ensure that all data is anonymized before it is processed by the AI in order to guarantee employee data protection.

Opportunities through AI

Automation of processes

The use of AI offers immense opportunities for companies. By automating processes, companies can work more efficiently and make better use of their resources. AI can take over repetitive tasks that previously required manual work, thereby increasing efficiency and reducing the error rate.
One example of this is the use of AI in accounting, where AI-supported systems can automatically record and process invoices. This saves time and reduces the risk of human error.

Improving the quality of content

AI can improve the quality of content by generating consistent and well-formulated texts. This leads to a better user experience and can increase customer satisfaction. Companies can use AI to create high-quality content that strengthens their brand and effectively communicates their messages.
A practical example is the use of AI in the creation of product descriptions for e-commerce websites. Here, AI can ensure that all descriptions are consistent and the most important product features are clearly highlighted.

Analyzing large amounts of data

Another potential of AI lies in its ability to analyze large amounts of data and gain valuable insights from it. Companies can use AI to analyse customer behaviour, identify market trends and develop personalized marketing strategies. These data-driven approaches enable companies to better tailor their offers to the needs of their customers and thus strengthen their market position.
One example would be the use of AI in a company's marketing department. By analyzing social media data, AI can identify trends and customer opinions and help the company to develop targeted marketing campaigns based on the current needs and wishes of customers.