Allegro SET - Semantic Entity Tracker

Big Data, Fast Data, & Complex Data -

Add a Brain to all your Data

What if:

• Your business could anticipate the activity of an Entity (think - customer,smart phone component, employee, etc) in your organization
• Your business could track the mostinteresting entity interactions in real-time
• Your team could spend more time exploring entity relationships rather being buried in heterogeneous data problems?

Allegro SET is a closed-loop, self-learning system that lets you:

• See what happens, when it happens
• Understand what it means to your business
• Take action and enforce business policy.....
                           automatically, intelligently and in business real-time

The Allegro SET Architecture

The Allegro SET Architecture brings together several new technologies: Complex event processing Semantic inference engine RDF-based triple store and ontologies Bayesian Belief Network Entity Extraction Modern ETL orchestration And more

Collection of Events in Real Time

Collects published events Convert event messages to RDF triples/quads Determine relationships of class to properties for this individual (instance)

Decision Engine

The Decision Engine Transforms events into a knowledge graph about an entity.

Orchestrates Update triples Read triples Invoke Bayesian Belief Network Invoke Reasoner Inferences Rules Determines meaningful concepts Correlates multiple raw events Aggregates Information Enrichment if necessary Publish action message(s)

Allegro SET is redefining operational decision making:

• Real Time: platform for continuous situational awareness
• Semantic: operates on complete view of decision factors
• Humanized: solutions for business analysts
• Comprehensive: awareness and intelligent management of every interaction
• Consistent: applies business policies consistently, across the board
• Predictive: anticipates issues and foresees future events
• Proactive: prevents problems before they occur

Semantic Entity Tracker Comparison

Support

If you have questions or comments, please contact us at [email protected].