The collision of capture, content and analytics
Blog: Column 2 - Sandy Kemsley
Martyn Christian of UNDRSTND Group, who I worked with back in FileNet in 2000-1, gave a keynote at ABBYY Technology Summit 2017 on the evolution and ultimate collision of capture, content and analytics. He started by highlighting some key acquisitions in the industry, including the entry of private capital, as well as a move to artificial intelligence in the capture space, as harbingers of the changes in the capture market. Since Gartner declared enterprise content management dead — long live content services platforms! — and introduced new players in the magic quadrant alongside the traditional ECM players, while shifting IBM from the leaders quadrant back to the challengers quadrant.
Intelligent capture is gaining visibility and importance, particularly as a driver for digital transformation. Interestingly, capture was traditionally about converting analog (paper) to digital (data); now, however, many forms of information are natively digital, and capture is not only about performing OCR on scanned paper documents but about extracting and analyzing actionable data from both analog and digital content. High-volume in-house production scanning operations are being augmented — or replaced — with customers doing their own capture, such as we now see with depositing a check using a mobile banking application. Information about customer actions and sentiment is being automatically gleaned from their social media actions. Advanced machine learning is being used to classify content, reducing the need for manual intervention further downstream, and enabling straight-through processing or the use of autonomous agents.
As a marketing guy, he had a lot of advice on how this can be positioned and sold into customers; UNDRSTND apparently ran a workshop yesterday for some of the channel partner companies on bringing this message to their customers who are seeking to move beyond simple capture solutions to digital transformation.
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