Mayur Bhatt

We've been using ChatGPT for a while now. We use it to help with desk research. It helps us find sources and existing studies on topics that matter to us. We also use it to shape our study designs and build the structure for our questionnaires. ChatGPT helps us write and fix syntax commands too. We use these commands for descriptive data analysis. But we don’t only rely on ChatGPT. Alongside it, we also use Copilot and Claude from Anthropic. Each tool supports different parts of our work. We wanted to find out if generative AI tools could also help us create and test advertising materials. Our main goal was to make advertising that fits specific target groups. We also wanted to spot chances for improvement early in the process. This would allow us to discuss these improvements with the agency and the campaign management team before the ads go live. That is why, over the past few months, we have been testing how useful large language models can be in advertising effectiveness. We tr...

Artificial intelligence is seen as a key technology for the future. But it can only reach its full potential if the data is correct. Clean and structured data is becoming more important. Before using AI tools effectively, companies must practice data excellence in their daily work. This is the foundation for successful AI use. Almost nothing drives today’s business world like artificial intelligence. Companies around the globe apply AI to improve their business models and streamline processes. Banks and insurance firms use AI algorithms to assess risk and detect fraud. E-commerce leaders such as Amazon and Zalando create highly personalized shopping experiences with AI. They also use AI to forecast demand and optimize logistics. Even though AI seems magical, we must remember how it works. AI gives results based on probability and complex statistics. To get useful results, it needs one main thing: a lot of good, clean, and useful data. That’s why data excellence is now very important fo...