Explainable AI (XAI) should provide detailed information about what influenced the AI’s results , to help users interpret (and trust!) its outputs. This kind of transparency is always important, but it’s even more important when it comes to sensitive industries like healthcare or finance, where explanations are required to ensure fairness, accountability, and in some cases, regulatory compliance. What does this mean for customers? If an AI system can justify its decisions in a way that customers can understand, its reliability and credibility increase.
It also increases user trust, especially in eu phone number sensitive areas such as healthcare or finance. What does this mean for teams? XAI can help employees understand why a model made certain predictions. This not only increases confidence in the system, but also leads to better decision-making and can help refine the system itself. ( back to top ) Generative AI Generative AI is the field of artificial intelligence that focuses on creating new content from existing data.
In a CRM system, generative AI can be used to create a range of useful outputs, from writing personalized marketing content to generating synthetic data to test new features or strategies. What does this mean for customers? Better, more targeted marketing content that helps them get exactly the information they need and nothing they don’t. Faster execution of marketing campaigns and sales schemes, plus the ability to test different strategies from synthetic data sets and optimize them before they go live.