Abhishek Mittal | Re-Imagining Regulatory Obligation Management
KGC21 | Conference Only Pass • 21m
Content Enrichment: Development and deployment of a 5-stage taxonomy. Applying the taxonomy to tag regulations and classify them for improved discovery & work assignment.
Smart Authoring: Leveraging advanced NLP and ML techniques to learn from the past content authoring for identification of key requirements and faster & complete authoring.
Obligation Graph: Finally linking regulatory obligations to products, process, functional area, topics and raw citation text. This enables end-end audit trail and linkage of policies to regulatory requirements enabling financial institutions to meet their regulatory compliance
This video is a talk from Abhishek Mittal from Wolters Kluwer. He explains how his workspace and company works on re-imagining regulatory obligation management. One solution that his company Wolters Kluwer provides is software and content based services with OneSumX ProViso being one of them. Abhishek talks about the obligations that companies have such as bringing out a product and making sure that the product is compliant. Wolters Kluwer helps streamline the process with the use of OneSumX ProViso. #knowledgegraphs #knowledgegraphconference #knowledgegraphbusiness #knowledgegraphsandbigdataprocessing #knowledgegraphmachinelearning
Up Next in KGC21 | Conference Only Pass
-
Ying Ding | Katana Graph Solutions: S...
When knowledge graphs in your company get larger and larger, a scalable graph search is in high demand. In the current graph search solutions, scalability is still a big issue. Furthermore, with the fast development of deep learning on graphs, many companies rely on deep learning methods to mine ...
-
Maulik Kamdar | Elsevier's Healthcare...
Knowledge Graphs are increasingly being developed and leveraged in academia and industry to tackle complex biomedical challenges, such as drug discovery and safety, medical literature search, clinical decision support, and disease monitoring and management. In this talk, we will present the resea...
-
Alex Kalinowski | Structured To Unstr...
Identification of entities and the relations between them is a difficult task for traditional pattern-based matching or machine learning approaches; these techniques rapidly overfit training datasets and struggle to transfer to other contexts or domains. Utilizing outside knowledge, such as facts...
