Siren’s new release 10.5 upgrades graph AI capabilities with the introduction of a “Common Communicator†graph algorithm.
One of the leading investigative intelligence analytics providers, Siren announced the release of Siren 10.5 which delivers improvements such as the ability to fuse big local data with results returned dynamically by remote web services – a capability Siren calls Knowledge Graph “augment on demandâ€.
The release is close on the heels of Siren 10.4Opens a new window , launched in March 2020. 10.5 includes drivers for commonly used web services, and also delivers documentation to enable developers to create their own web service driver for other APIs. Web services can form part of a graph, dashboard or alerting scripts, or new visual components.
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John Randles, CEO of Siren, in an exclusive commentary shared with Toolbox said, “Siren is the only solution which can visualize the Knowledge Graph that already exists in any organization data – with no data copying required. With the ability to extend this Knowledge Graph with data dynamically imported from the web or from hard to reach systems the vision completes. Law enforcement, intelligence, and financial crime investigators now have unprecedented investigative power.â€
Key features of Siren 10.5 are:
1. Siren 10.5 bolsters its AI capabilities in the current version and delivers native Natural Language Processing (NLP)Opens a new window engine to enhance knowledge graph capabilities.
3. Extends knowledge graph AI capabilities with the introduction of the “Common Communicator†graph algorithm.
4. Enhances performance with a reduced web app bundle size and also enhances the efficiency of dashboard rendering making it easy to switch between dashboard scenarios.
5. Delivers the ability to set limits on searches to users and alerts on large joins
6. Improves back-end performance by introducing improvements for large, multi-index, multi-shard settings.
In a nutshell, Siren 10.5 augments out of the box AI offering with a native Natural Language Processing (NLP) engine and boosts knowledge graph capabilities. The NLP engine can preprocess any textual information that is accessible by Siren. Delivered as an Elasticsearch ingestion pipeline plugin, developers can use it to enrich text fields with predefined taxonomies and annotation for named entities, such as organization, person, location, dates, monetary amounts, and GPS coordinates.
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