Join us for a live webinar!

Restructured: Using GenAI to Transform Unstructured Data into Actionable Insights

September 24, 2024, 9:00 am PST

In today’s data-driven world, organizations struggle to extract insights from vast unstructured information in real-time. Manual review is impractical, and decisions must be made quickly.

This webinar introduces an innovative approach to address these challenges by using Restructured, Kolena’s innovative AI-powered data platform designed to transform large volumes of complex unstructured data into a structured and immediately actionable format.

We will discuss:

  • How unstructured data is crucial for business decisions, but extracting value is challenging.
  • Real-time processing of various formats: PDFs, images, emails, audio, and video.
  • Solving complex queries that were previously too time-consuming due to vast amounts of data.
  • How to ensure transparency and traceability with citations for every insight.
Expected results from Restructured:
  • Boosted efficiency and decision-making with automated data extraction.
  • Accelerated responses to market changes and streamlined compliance.
  • Reduction in costs and enhanced resource allocation for innovation.
  • Unlocked hidden value in unstructured data, driving competitive advantage.

Whether you’re in finance, legal, insurance, healthcare, or any data-intensive field,  don’t miss this opportunity to see how you can transform your data chaos into a strategic asset. Enable faster, more informed decision-making in an increasingly complex business landscape.

REGISTER NOW

Meet the speakers

Join our expert speakers for a presentation and Q&A

dylan

Dylan Grandmont

Dylan is Kolena's Staff Frontend Developer, joining the organization as employee #5 in 2021. With over 10 years of professional experience, he aims to solve problems by creating quality software as a scalable and impactful solution for users. 

skip

Skip Everling

At Kolena, Skip's role as Head of Developer Relations. His objective is to help ML/AI engineers and data scientists more effectively test and refine their models so that they perform robustly in the real world.