Due to uncertainty and accelerated claims, the insurance industry needs to create new operational efficiencies to improve wafer-thin margins. Find out how.
Automation has hit a productivity ceiling in some industries. Find out more about the hype around automaton and its true impact on labor and productivity.
Ontology is the latest buzzword in the intelligent capture solution domain. Sounds cool. But what does it mean? Does it really change things for the better?
More than just the end user experience, ease of use leveraging machine learning unleashes document automation for every organization. Find out how.
These practical steps for a Proof of Concept (PoC) offer guidance on assessing the straight through processing (STP) potential of any intelligent capture system.
Adopting intelligent capture is risky if you don’t have all the facts. Here is actionable advice for avoiding the pitfalls and ensuring project success.
What it takes to build a cognitive capture solution from scratch is important due to the hidden elements of staff skills and OCR performance. Find out more.
Intelligent Document Processing powered by artificial intelligence also holds great promise for true automation and data accessibility in insurance.
Does Your OCR Suffer From Low Confidence? Explore how to ensure that accurate data passes straight into business workflows without manual verification.
Rethinking operations during this black swan event means the adoption of new technologies and services to keep businesses running. Find out how.
Since the document is serving as a Digital Transformation (DX) data container, the document might not die with DX; this may be its resurgence. Find out why.
Intelligent capture technology behind achieving STP requires accuracy. This means examining the elements of accuracy & how to evaluate it, discussed here.