In our recent posts, LLM is not enough and AI-guided Self-service, we’ve discussed our belief in the transformative power of AI, particularly LLMs, to change self-service analytics drastically. However, it’s not a simple plug-and-play integration, it’s more than just throwing a ChatGPT UI into the app. There are significant challenges to ensure reliability, accuracy, and governance. This requires not just a well-designed interface, but also a robust data infrastructure, including a semantic layer.

That’s why we’ve prioritized foundational components like our As-code Semantic Layer and Canvas Dashboard to enable transparency and credibility. Now that these foundational pieces are in place, we are confident to invest further in AI functionalities, leveraging the efficiency of the latest LLM models.

At our core, we believe that AI is here not to replace but to enhance the roles within the analytics workflow. By leveraging AI, we empower everyone to work more efficiently while ensuring accuracy and governance. This enables organizations to make better data-informed decisions and drive meaningful outcomes.