To manage risk effectively, build operational intelligence, and make context-based decisions, gaining a clear, comprehensive view of your data and its context is essential. But many organizations find that getting a 360° view of their data is a struggle.
Enter entity resolution, the process of identifying and resolving when multiple records are related to the same real-world entity. Entity resolution enables you to unify data such as people, places, companies, vehicles and vessels from any number of sources and uncover hidden relationships with efficiency, accuracy, and transparency. It lets you benefit from a cleaner, clearer, more reliable knowledge graph enabling better and more efficient sanctions screening, risk management, supply chain compliance, and more.
Linkurious Decision Intelligence platform now integrates best-in-class entity resolution AI from Senzing that is totally compatible with leading graph databases and directly available via a no-code interface. All of this is available starting from April.
This webinar pulls back the curtain on entity resolution, showing you how it works, and how combining ER with graph data accelerates more informed decision making.
Agenda
What is entity resolution?
Entity resolution in Linkurious
Entity resolution in slow motion
Demo: Applying entity resolution using the Panama Papers dataset
Presenters
Jean Villedieu
Managing Director & Co-founder @ Linkurious
Jean is the co-founder and Managing Director at Linkurious. Over the years, he has worked with a wide range of Fortune 500 companies and government agencies to help them find insights in complex connected data. Previously, he worked in the consulting industry. Jean double-majored in both political sciences and competitive intelligence.
Jeff Jonas
Founder & CEO @ Senzing
Jeff Jonas is a data scientist and creator of Entity Resolution systems. For more than three decades, he has been at the forefront of solving complex big data problems for companies and governments. National Geographic recognized him as the Wizard of Big Data. Prior to founding Senzing in 2016, Jonas served as an IBM Fellow and Chief Scientist of Context Computing at IBM. He led a team focused on creating next-generation AI for Entity Resolution technology. He regularly meets with government leaders, industry executives and think tanks around the globe about innovation, national security and privacy. Jonas was awarded an honorary Ph.D. in Science in 2015 from Claremont Graduate University and is the author or co-author of 14 patents.