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Optical character recognition (OCR) a.k.a. capture technology has been around for a long time – like 103-years-long-time. You can trace it back to 1914 when Emanuel Goldberg developed a machine that read characters and converted them into standard telegraph code. In the days of Goldberg, this was an innovative technology on its own, but today, it is just one slice of the document processing technologies available to businesses.
Technicians struggle to rise above their everyday problems and look at the big picture, but it’s a necessary thing to do. To articulate a purpose and a strategy for IBM FileNet, you must identify how it will align with corporate directives and initiatives. After all, a company must be committed to the technology for the long run – to own it, staff for it, leverage it and count on it for business success and competitive advantage.
Talk to any life insurance company and they will tell you that attending physician statements (APS) (also referred to as digital or electronic medical records) are the biggest delay in underwriting new applications. Ordering an APS is expensive ($50-$150 each), takes time to retrieve (10-30+ days) and is necessary for 20-30% of all life insurance applications (and if it is reinsurance, they require an APS for each application).
By combining IBM Predictive Analytics and Bluemix tools, you can tell which tasks, data and documents will lead a case to a more successful completion. These tools can extend both on-premise and cloud solutions that you may already have. We use predictive analytics to make a standard case solution smarter. This means knowledge workers can make decisions guided by cognitive components. With each case processed, the tool becomes more knowledgeable and accurate, taking case solutions to the next level. Below is a presentation we gave at IBM World of Watson.