It seems like every day there is a new IBM Watson tool for us to learn about. The ones that catch my attention are the ones that integrate with my world – a world that revolves around content and the services required to make the most of it. While at IBM Think, I had the opportunity to learn about Watson Visual Recognition and how it can be used to classify incoming content.
Before I begin, let me assure you that dark data has nothing to do with evil forces or anything of the like, so you may now put down your holy water and call off the IT exorcist. Dark data is any data asset that an organization stores, but never uses.
We look forward to being an exclusive sponsor of IBM Automation 2018 — a premier digital business automation event. This one-day event is stuffed to the brim with sessions and vendors demoing products and teaching attendees about strategies…
If your organization currently uses IBM FileNet Capture, your operations are at risk. IBM recently announced that they will discontinue support for IBM FileNet Capture on September 30, 2019.
In the past, IBM has had conferences focused specifically on enterprise content management (ECM) like Information on Demand and Insight, but in the past few years, they’ve gradually melted all their conferences together into World of Watson in 2016 and IBM Think coming up in two weeks.
From Information on Demand to Insight to World of Watson comes IBM’s newest mega conference: IBM Think. Now, navigating the IBM Think website and finding the information you actually need can be tricky so here’s a quick reference guide.
It seems like everything I read talks about how life insurers need to innovate to achieve organic growth. They need to overhaul legacy systems and ditch the manual processes. They need to adjust to their demanding customer-base: millennials.
Have you played around with Datacap Insight Edition from IBM? If you have, you will know that this is not your mother’s capture technology! This year Pyramid Solutions was presented with the challenge of extracting key information from complex medical documents.
The industry average for intelligent character recognition is only about 70 percent. There are a lot of factors that keep this number low, many of which you can prevent in form design. This white paper is a guide on how to design paper-based forms so your capture process goes smoothly.
The level of diversity in the document viewer market is comparable to the immense diversity in the résumés of job applicants, so we created a job description for what we think a document viewer should do and a résumé in which our Viewer responds to the application.
Medical documents are some of the most complex to capture and extract information from. Challenging medical information, handwritten medical shorthand and lengthy documents filled with data call for an exceptional capture tool.