Fabi.ai October 2024 updates: AI debugging & smart filters
Fabi.ai's latest release introduces an AI agent for automatic code debugging and enhanced report filtering with dynamic multi-picklist options. The platform is the first to implement AI agent functionality in a production-grade data analysis environment. These features aim to streamline report creation for stakeholders while making code debugging more efficient.
Okay, it’s a bit early for the holiday theme, Halloween decor is still up, but it’s never too early for us to deliver awesome features that will supercharge you and your team.
With this latest release you can create incredibly rich and interactive reports for your stakeholders and you can leverage the power of an AI agent to help debug your analysis. This is our first foray into this area and we have a lot more cooking for you!
🤖 Introducing AI agents (Beta)
We’re introducing our first, AI agent: Our code “Autocorrect” feature will leverage an AI agent to debug the code until the issue is resolved.
For all the talk around AI agents, we’re proud to be the very first data analysis platform to introduce this type of functionality in a production-grade platform. This is just the very first step. We’re working on some big things that will truly put AI in the driver’s seat.
Fabi.ai’s AI agent can auto-debug code that has multiple issues.
📊 More powerful filters & inputs
Turning your analysis into a report that your stakeholders can interact with has never been easier. Now you can automatically generate multi-picklist options using the unique values from a given field in a table.
More on different filter options in our documentation.
In a dynamic picklist filter, values are automatically generated from the values in a field.
Things you might find interesting ✨
- Ramp studied spend by LLM provider and Anthropic is starting to emerge as a serious contender. The AI race continues, and it’s still much too early to declare a victor.
- Traditional BI forces teams to find workarounds and costs organizations valuable insights. We explore this in more detail in a recent blog post.
- There’s some interesting text-to-visualization blended with point-and-click charting going on. Data Formulator is one of the more recent and interesting examples. Marc talks about the future or text-to-visualization in this Medium post.
