The Next Generation of Document AI

Document capture has traditionally relied on templates, rules and configuration to classify documents and extract information. The latest generation of Document AI is changing this. It combines established, deterministic extraction technologies with newer probabilistic and Generative AI approaches. 

In this webinar, we’ll show how these technologies work together to classify documents, extract information and understand context, with far less upfront configuration. Rather than using Generative AI for every task, each stage uses the right technology. You get the speed and predictability of traditional capture with the flexibility and understanding of newer AI models. 

This hybrid approach also helps control the cost and token consumption of Generative AI. Organisations can keep using deterministic technologies for the tasks they already handle reliably and use AI where it adds real value, getting the best from both performance and AI spend. 

Through practical demonstrations, we’ll show how the next generation of Document AI turns unstructured documents into trusted, usable information that’s ready for downstream systems and processes. 

What we'll cover: 

- Combining deterministic, probabilistic and Generative AI technologies

- Applying the right technology to each document-processing task

- Managing AI and token usage without compromising capability

- Processing new and unfamiliar documents with minimal upfront configuration

- Understanding context, not just extracting fields

- Provenance, validation, traceability and human review

IT and transformation decision makers, and operations, finance and shared services leaders, who want to reduce manual document processing and get more value from AI. 

This event will be run in a Webinar format.

The event is hosted by Inpute Technologies who are specialists in data, automation and artificial intelligence.