https://insidebigdata.com/2023/03/09/harness-unstructured-data-with-ai-to-improve-investigative-intelligence/ Your Source for AI, Data Science, Deep Learning & Machine Learning Strategies Fri, 10 Mar 2023 08:24:05 +0000 hourly 1 https://wordpress.org/?v=6.3.2 https://insidebigdata.com/2023/03/09/harness-unstructured-data-with-ai-to-improve-investigative-intelligence/#comment-471446 Fri, 10 Mar 2023 08:24:05 +0000 https://insidebigdata.com/?p=31828#comment-471446 This is totally spot on, Jordan.
What I found interesting is what I believe is a missing piece in the puzzle. I see many data scientists happy to throw tons of raw unstructured data into AI to get some insights out. But then, they seem to fail at creating a consistent place holder (repository, database, knowledge graph, you name it) where the extracted data points are kept and further processed for entity resolution aka: fusion.
Our team followed that approach, with a specialised knowledge graph we called Data Fabric, created to hold the extracted data points from all sorts of sources. The responsibility of entity resolution is left to further processes, with proprietary algorithms for matching and connecting data, making possible the data fusion you describe in your final paragraphs. As you can imagine, running these entity resolution processes over the knowledge graph, rather than straight from raw data, is orders of magnitude faster and cheaper, making possible insights we wouldn’t dare thinking about in the first place. The results, even in the few verticals we are tackling right now, are very exciting!

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