Release 8 Jul 2019

Siren introduces 5 AI superpowers: Entity resolution

Author: Giovanni Tummarello
Author Giovanni Tummarello
Siren introduces 5 AI superpowers: Entity resolution

Over the past 18 months we have been at work developing an incredible set of functionalities, some of the most innovative being the work done around building and integrating a large set of artificial intelligence (AI) capabilities – which we will unveil shortly.

In Siren Platform v10.3 (due for release within the next few weeks) and Siren Platform v10.4 five major state-of-the-art AI capabilities will be integrated into our product offering:

In this first article I’ll address entity resolution (ER), a possibly lesser-known machine learning (ML) ability but one with extremely useful applications

Siren ER: Match the “same entities” across databases, schemas, languages and cultural conventions

Siren Entity Resolution (ER)

What is entity resolution then? Entity resolution is the AI driven ability to recognize that:

When done right, this is nothing less than an investigative AI superpower with applications ranging from financial crime, know-your-customer (KYC), anti money-laundering and terrorist financing (AML) and Law Enforcement to automated enterprise scale record linkage for many other purposes.

Out of the box, best in class entity resolution across all back ends

Siren ER is capable of advanced and mostly automated real-time operations, with no batch reprocessing required,  for the most part out of the box.

Among its abilities are:

In the following short video, I go through a full example of “knowledge revision” and demonstrate it in action on the knowledge graph browser.

Knowledge graph and entity resolution, when 1+1=3

“Entity Resolution” has existed as a standalone capability in various shapes and forms over the years; so has link analysis over curated knowledge graphs (entities which share identifiers). Both are great and highly appreciated capabilities.

However, having them both working together coherently under the same umbrella is  a revelation. From our initial tests, data sets which we thought knew well, immediately started to reveal many unexpected and previously unidentified connections.

Our excitement was then superseded by that of customers who for the first time could visually explore across real world fuzzy, incomplete and all the way to possibly maliciously inputted data.

To conclude, “augmented analytics” is a term coined by Gartner to define the next wave of analytics – where AI provides much-needed additional value to traditional approaches. While these definitions are sometimes hard to visualize, with Siren 10.3 we feel we’re making a major step forward delivering this value.

Available in Siren Community and Business editions

Siren ER will be available in the free Siren Community Edition for scenarios which use up to 10k entities while scenarios up to 100M+ of entities are possible in the Siren Business Edition.

Also published on Medium.


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