The New Science of Process Automation

Add bookmark
Seth Adler
Seth Adler
10/26/2020

As document and input types get more and more complex, legacy business process automation technologies, like Robotic Process Automation (RPA), can struggle to keep up. Designed to execute precise rules and work with structured data inputs, these approaches lack the intelligence to handle the variability and ambiguity of diverse, real-world document processing workflows, making it a partial enterprise solution that needs to be supplemented with more intelligent technology. 

AI/ML/IDP Democratization

Fortunately, there’s a sea change coming to back offices, reshaping the way organizations operate. Recent breakthroughs in Artificial Intelligence - and Machine Learning, specifically - are helping businesses replace aging tech stacks and inflexible workflows with technology that supports the kind of responsiveness and innovation required to keep pace with an ever-changing market. These advances bring forth a reliable path towards automating processes that have previously only been possible by people, and they finally fulfill the promises made (and broken) by earlier technologies many times before.

Intelligent Document Processing (IDP) solutions, in particular, leverage the latest in ML and AI to capture data from documents (e.g. text, PDFs, scanned images, emails), and categorizes and extracts relevant data for further processing. Leading IDP solutions that leverage the latest in Machine Learning continue to learn on the data they’re exposed to, driving lower error rates and greater automation.

Download the whitepaper to:

  • Take your Automation Centre of Excellence to the next level
  • Speed up back office operations
  • Reduce errors and improving customer experience.
  • Design and implement a workflow incorporating both people and machines
  • Improve efficiencies today and modernize your operations for the future
Sponsored By:

RECOMMENDED