Opinions and discussion on content management by one of the biggest guys in the business. *Measured by weight not volume
One of the things that got me going again about Text Analytics was the claim by many vendors at the AIIM Conference 2016 that they support Text Analytics. Most didn’t and here’s why. Zonal OCR and Smart Capture are Not Text Analytics In automated indexing of captured (or imaged) documents, there are two options Zonal... Continue Reading →
The Text Analytics/ Predictive Analytics World conferences this month were eye opening. I felt that I was standing on the edge of an abyss and trying hard to both look down but not fall in. While predictive analytics is huge, especially in social media, text analytics is still looking for its opportunity. At the vendor... Continue Reading →
Coming out of the April 2016 AIIM conference, I’ve had a renewed interested in text analytics. There were a few sessions and a growing interest in text analytics. It seemed that Information Professionals were being asked by their managers for examples to find value in their content repositories. Unfortunately there were no use cases to... Continue Reading →
To me Content Analytics has always been an intriguing field. When I saw what data mining could do with reporting on metadata stored within their vast databases, I was impressed. Being a believer of the 80% unstructured to 20% structured data in an enterprise, I saw the real power to be if someone could look... Continue Reading →
If there’s one thing I hate more than “Barney” press releases, it’s technology PR stunts. Most recently to the top of my list is IBM’s Watson. I’ve heard about Watson’s capabilities and possibilities from so many different people both inside and outside technology. Each not realizing what it is, a technology daredevil. I remember TV’s... Continue Reading →
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