George Harpur shares his expert take on the applicability of Machine Learning, Natural Language Processing and why one size does NOT fit all.
Home-based working and the importance of organisational agility have accelerated the move away from processes that present barriers between information and the systems, people, and processes that are informed by that information.
A number of systems claim to be able to interpret information that permeates an organisation.
Having worked with many of the leading document interpretation engines in the past, we have come to appreciate the power and elegance of one engine above the rest.
Based on research from a Cambridge University research project, the Aluma platform has evolved to be designed from the ground up to be a cloud-based platform that uses modern design principles and an easy adoption model.
Aluma uses these mathematical models and brilliant design to allow ISV’s, Document Process Outsourcers, OEM’s, and end customers to easily adopt the platform for Digital Mailrooms, Invoice Data Extraction, automated document enrichment, Analytics, Subject Access Requests with auto-redaction of personal information, and digitisation and auto-filing of content at the point of origin.
Once subscribed, you can discover more in this series of tutorials to get to grips with the platform and deliver immediate results with your own content.
We cover classification, extraction and redaction in this series of tutorials below. Please share your feedback and thoughts – we at ChartaPorta would love to hear from you.
To try for yourself, please enter the following details to activate your free, fully-featured subscription to the platform