Build AI agents that automatically analyze and answer time-series questions.
Automations that analyze time-series data from tools like Amazon or Google Analytics and answer complex questions like 'What's our revenue growth rate?'
It helps you automate tedious data analysis and question-answering tasks, freeing up time for more strategic work.
"A founder, John, wants to understand their company's revenue trends. He connects his Amazon data to TSA TSQA with LLMs and asks the agent to analyze the data for the past quarter. The agent produces a detailed report with insights on revenue growth, seasonality, and anomalies. John can now make data-driven decisions with confidence."
You should pick this up if you're new to AI tools and want to automate basic data analysis tasks.
A senior engineer or professional would reach for this when building complex data-driven systems that require advanced time-series analysis.
Don't confuse this skill with a simple data visualization tool, as it's designed for in-depth time-series analysis and question-answering abilities.
[IJCAI 2026] This is the supporting website for the paper "From Time Series Analysis to Question Answering: A Survey in the LLM Era".
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