Inside Hex's evaluation lab for data analytics agents
By
Izzy Miller
Summary
Hex built an internal lab to evaluate data agents (AI agents that perform data analytics). The article explains the unique challenges of evaluating data agents — where easy questions look hard and vice versa, bugs are silent and subtle, and there's no realistic public training data. It details Hex's evaluation architecture, including their synthetic business data approach, to test and benchmark agent performance in data analytics contexts.
Source
Hacker NewsInside Hex's evaluation lab for data analytics agentshex.techKey quotes
· 5 pulledData analytics is a uniquely cursed domain for agents to operate in.
Easy questions look hard. Hard questions look easy.
Bugs are usually silent and subtle.
Everyone's data warehouse is out of distribution.
For every right answer, there are ten plausible wrong ones.
You might also wanna read
Hex Launches Notebook Agent: AI-Powered Analytics Platform for Data Teams
Hex introduces Notebook Agent, an AI-powered analytics tool for data teams that provides agentic capabilities within their existing platform
Product Hunt·10mo ago
Autodata: Using AI agents as data scientists to generate high-quality synthetic training data
This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat
arxiv.org·12d agoAutodata: Using AI agents as data scientists to generate high-quality synthetic training data
This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat
arxiv.org·12d ago
Autodata: Using AI agents as data scientists to generate high-quality synthetic training data
This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat
arxiv.org·13d agoAutodata: Using AI agents as data scientists to generate high-quality synthetic training data
This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat
arxiv.org·13d ago
What People Still Get Wrong About AI Agents: Trust, Tools, and Evaluation at Scale
The article discusses persistent misunderstandings about AI agents and tools, particularly in the context of NVIDIA's open-sourcing of their
turingpost.com·11d ago
What Is a Data Agent? An Explanation of AI-Powered Conversational Analytics
The article explains what a data agent is, defining it as "a report you can talk to." It describes how data agents, like Microsoft Fabric's
towardsdatascience.com·1mo ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.