Transforming Data into Actionable Insights with Cutting-Edge AI at LaGrand
At LaGrand, we pride ourselves on leveraging the latest technologies to address complex challenges for the economy. Thanks to the generous support of the DataBooster Innovation Program from Innosuisse, we successfully collaborated with one of our lead customers and CSEM on a research project.
Turning Data Complexity into Clarity with RAG
The research focused on tackling a key challenge: making sense of vast and diverse data sources to provide concise, actionable summaries tailored to decision-makers. Using the latest Retrieval-Augmented Generation (RAG) techniques, we synthesized information from a wide variety of sources, including:
- News articles
- FRED economic indices
- Financial Data
- LaGrands satellite based activity datasets
The goal was simple yet ambitious: to answer highly specific questions for our client while presenting the insights in a format optimized for managerial use. The results demonstrated the potential of combining disparate data sources into a single, coherent narrative.
Bridging the Gap Between Public Perception and Reality
One standout finding of the project was the ability to highlight discrepancies between publicly available information and the ground-truth economic activity that our satellites measure daily. This capability provides businesses with unique competitive advantages, ensuring they stay ahead of market trends and avoid misinformation pitfalls.
A Manager’s Ideal Summary: Dense, Reliable, and Actionable
During the sprint, we refined our methodology to deliver insights not in traditional tables or charts but in information-rich summaries that align with what managers are accustomed to—concise paragraphs that provide context, clarity, and actionable advice.
What sets our technology apart is the transparency we offer: every data point or insight is linked back to its source, whether it’s a news article, financial report, or satellite dataset. This traceability enhances the credibility of our summaries and sets us apart from generic AI models.
A Manager’s Ideal Summary: Dense, Reliable, and Actionable
During the sprint, we refined our methodology to deliver insights not in traditional tables or charts but in information-rich summaries that align with what managers are accustomed to—concise paragraphs that provide context, clarity, and actionable advice.
What sets our technology apart is the transparency we offer: every data point or insight is linked back to its source, whether it’s a news article, financial report, or satellite dataset. This traceability enhances the credibility of our summaries and sets us apart from generic AI models.
Why This Matters for Decision-Makers
With RAG-powered insights, LaGrand enables businesses to:
- Make faster, data-driven decisions.
- Identify hidden patterns and discrepancies in data.
- Build trust through source-cited summaries.
This project reaffirms our commitment to equipping businesses with tools that don’t just collect data but transform it into actionable intelligence.
The Future of Business Intelligence with LaGrand
As we move forward, the lessons from this research project will continue to shape how we help businesses navigate uncertainty. By combining the power of AI, satellite intelligence, and robust economic data, LaGrand is redefining how managers access and use information.