The Future of Data Management Podcast
Knowledge Graphs revolutionize the way companies make use of their data. The technology has the potential to turn every digitized piece of knowledge in a company into actionable insights. You can exceed even Google’s Search capabilities by creating an intelligent platform with knowledge graph. Many of us can imagine our idealistic future data dream worlds, but how do we get there?
The State of the Knowledge Graph
For our knowledge quest enjoyment the authors of the recent O’Reilly ebook The Rise of the Knowledge Graph are doing a live webinar exploring the universe of knowledge graphs and their role in data-intensive use cases like customer 360, fraud detection, drug and clinical data analysis, and other advanced analytics.
DataVision 2020 Virtual Conference
EDM Council’s DataVision 2020 Virtual Conference, Dec. 2, 2020, updates the global community on the spectrum of activities affecting data management. As a proud sponsor of the event, we hope you will join us for an enlightening discussion on the latest trends, best practices and future directions in data management. There is no cost to attend.
Webinar: Risk Analytics Using Knowledge Graphs / FIBO with Deep Learning
This on-demand EDM Council webinar sponsored by Cambridge Semantics Inc. and featuring FI Consulting explores challenges common to a risk analytics pipeline, application of graph analytics to mortgage loan data and use cases in adjacent areas including customer service, collections, fraud and AML.
KDD2020 Case Study: Text Analysis with Knowledge Graphs
Watch our own Thomas Cook, along with Rajib Saha, Aditya Narayanamoorthy and Sandip Bhaumik of Parabole.ai, present their joint research paper ‘Using Machine Teaching in Text Analysis: Case Study on Using Machine Teaching with Knowledge Graphs’ at KDD 2020.
On-demand Webinar: Fireside Chat with Authors Dean Allemang, Jim Hendler and Fabien G …
Watch this moderated discussion with authors Dean Allemang, Jim Hendler and Fabien Gandon as they discuss their new book ‘Semantic Web for the Working Ontologist, Effective Modeling for Linked Data, RDFS and OWL.’