Leveraging Machine Learning and IDP to Scale Your Automation Program – AiiA

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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.

Fortunately, theres 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 theyre exposed to, driving lower error rates and greater automation.

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Leveraging Machine Learning and IDP to Scale Your Automation Program - AiiA

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