Imagine querying your data – across databases, images, and text – as easily as chatting with a friend. That’s the promise of XMODE, a new AI system that lets you explore complex datasets using natural language. XMODE tackles the challenge of making sense of different data types simultaneously, like medical records paired with X-rays or art museum databases combined with painting images. How does it work? XMODE acts like an intelligent agent, breaking down your questions into smaller, manageable tasks. For example, "Show me the progression of cancer lesions over the last 12 months of patients with lung cancer who are smokers" might be divided into separate database queries, image analyses, and visualizations. This agent-like approach lets XMODE efficiently orchestrate different AI models, like those specialized in text-to-SQL conversion or image recognition. This is a significant improvement over traditional systems that struggle with the complexities of combining data sources. One of the key advantages of XMODE is its explainability. It gives you insight into *how* it arrived at its answers. This transparency is crucial, especially in fields like medicine where understanding the reasoning behind a diagnosis is paramount. Researchers tested XMODE on diverse datasets, including artwork information and electronic health records. Compared to existing systems, XMODE showed higher accuracy, especially when dealing with multiple data types. It was also faster, thanks to its ability to execute tasks in parallel. However, image analysis remains a bottleneck, and further research is needed to refine how AI interprets visual data. XMODE presents a compelling vision for the future of data interaction. As the research progresses, expect to see more intuitive and powerful ways to unlock insights hidden within your data, regardless of its form. The future of data analysis is conversational.