Recently we have added on to the machine learning power of Capture 2.0 with the development of the Document Classification Engine. This Capture component allows for unstructured data entering Alfresco from a variety of sources to be automatically categorized according to our clients’ object models. This post will explain how we leverage machine learning in […]
Alfresco – Do More with Capture 2.0
Now that TSG is an Alfresco Company, we wanted to highlight how we are helping clients improve their legacy capture solutions to make ingestion of documents much faster, more accurate and require less human intervention. Over the past year, TSG has focused on improving the OpenContent Management Suite by disrupting legacy capture solutions with machine learning. The following […]
Capture 2.0 – Metadata Extraction with Machine Learning Upon Ingestion
TSG is predicting future disruptions to content capture within the ECM industry. In the 4th quarter of 2019, we focused on improving the OpenContent Management Suite by disrupting legacy capture solutions with machine learning. As we are predicting that even more customers will be moving to all digital documents given the pandemic, our Capture 2.0 efforts for 1st […]
ECM 2.0 – Vision & Review of 2019
TSG recently posted an article with Document Strategy on the Vision for Content Services Platform /ECM 2.0 for 2020 and beyond. As part of our year-end wrap-up for 2019 and prepping for 2020, we conducted a deeper dive interview with Dave Giordano, our founder, on his thoughts on the market and his predictions for 2020. […]
Capture 2.0 – Disrupting Legacy Capture Solutions with Machine Learning
TSG is predicting upcoming disruptions to content capture within the ECM industry. We have been working hard this quarter to improve metadata extraction capabilities within the OpenContent Management Suite with machine learning. For this post, we want to discuss and demonstrate the interface that controls capture templates as well as how users interact with the […]
Capture 2.0 – Visualizing Metadata Capture Location
Earlier in the Capture 2.0 series, we discussed how modern capture solutions would improve the metadata extraction process when processing documents. Capture 2.0 solutions will expand on existing zonal as well as key/value pair methods for extracting metadata by incorporating machine learning algorithms to improve accuracy over time. This post will explore how users can […]
Computer Generated Documents – What’s different about Capture 2.0 and Big Data?
As part of our series on Capture 2.0, this quarter TSG is focused on improving our ability to capture documents that are “borne digital”, that is, while being in a paper format, were never printed out on paper. While capturing documents from Word or other documents created by an end-user is fairly straightforward, computer batch processes […]
Capture 2.0 – Improving Metadata Extraction with Machine Learning
As we begin to explore the topic of Capture 2.0 at TSG, the primary component that we would propose differentiates the legacy capture tools from the capture tools of the future is the inclusion of machine learning to the capture process. As discussed in our Capture 2.0 introductory post, the majority of legacy tools do […]
Content Capture 2.0 – The Upcoming Disruptions – Thoughts and Analysis
Similar to the disruption happening within the ECM marketplace, most analysts (and TSG) are predicting that the Capture component of ECM is ripe for disruption as well. The capture marketplace is very similar to the ECM marketplace with legacy products that haven’t evolved as new requirements and technologies are introduced. One of the strategic initiatives […]