Intelligence engine

An intelligence engine is a type of enterprise information management that combines business rule management, predictive, and prescriptive analytics to form a unified information access platform that provides real-time intelligence through search technologies, dashboards and/or existing business infrastructure. Intelligence Engines are process and/or business problem specific, resulting in industry and/or function-specific marketing trademarks associated with them. They can be differentiated from enterprise resource planning (ERP) software in that intelligence engines include organization-level business rules and proactive decision management functionality.


The first intelligence engine application appears to have been introduced in 2001 by Sonus Networks, Inc. in their patent US6961334 B1.[1] Applied to the field of telecommunications systems, the intelligence engine was composed of a database queried by a data distributor layer, received by a telephony management layer and acted upon by a facility management command & control layer.[1] This combined standalone business intelligence tools like a data warehouse, reporting and querying software and a decision support system.

The concept was reinforced in 2002 in patent application US20030236689 A1[2] which applied predictive quantitative models to data and used rules to correlate context data at different stages of the business process with business process outcomes to be presented to end users.[2]

LogRhythm Inc. advanced the concept in 2010 by adding event managers to the end of the intelligence engine’s process to determine reporting, remediation and other outcomes.[3]

In 2016, professional service company KPMG continued to advance the concept by commercializing intelligence engines with the introduction of Third Party Intelligence, which is differentiated from past intelligence engines in its increased use of embedded intellectual property, diversity of global data inputs and focus on predictive analytics to mitigate risk and yield cost savings.[4]


As a system that combines human intelligence, data inputs, automated decision-making and unified information access, intelligence engines are an advancement in business intelligence tools because they:

  • integrate structured data and unstructured content in a single index[5]
  • provide advanced workflow automation that can trigger multiple business processes[6]
  • project future impact of data[7]such as supply chain threats[8]
  • recommend best actions[9]/ highlight opportunities for process improvement[10]
  • leverage business intelligence from a variety of experts[7]
  • combine human expertise with the power of technology to deliver actionable intelligence[4]
  • scale data visualization capabilities with the number of users[11]


  • Attivio Active Intelligence Engine®[12]
  • KPMG Spectrum Intelligence Engine(s)[13]
  • Salesforce Service Cloud Intelligence Engine[6]
  • FireEye Threat Intelligence Engine[14]
  • Factiva Intelligence Engine[15]
  • Parasoft Process Intelligence Engine[10]


  1. ^ Jump up to:ab US patent 6961334, Kaczmarczyk, Casimer M, “Intelligence engine”, issued 2005-11-01
  2. ^ Jump up to:ab US application 20030236689, Casati, Fabio; Sayal, Mehmet & Guadalupe Castellanos, Maria et al., “Analyzing decision points in business processes”, published 2003-12-25
  3. ^US application 2012131185, Petersen , Chris; Villella, Phillip & Aisa, Brad, “Advanced Intelligence Engine”, published 2012-05-24
  4. ^ Jump up to:ab “KMPG Launches Third Party Intelligence: Intelligence Engine to Anticipate Third-party Disruptions”. Retrieved 22 July 2016.
  5. ^“Attivio Applies Predictive Analytics to Indexed Data”. Retrieved 22 July 2016.
  6. ^ Jump up to:ab “Salesforce Unveils Service Cloud Intelligence Engine—Fueling Smarter Customer Service for the Connected World” (Press release). Retrieved 22 July2016.
  7. ^ Jump up to:ab “Inbound Logistics Magazine May 2016” (PDF). Retrieved 22 July 2016.
  8. ^“KPMG Spectrum”. Retrieved 22 July 2016.
  9. ^“CustomerMatrix Unveils First-Ever Cognitive Intelligence Engine for CRM”. Retrieved 22 July 2016.
  10. ^ Jump up to:ab “Process Intelligence Engine (PIE)”. Retrieved 22 July2016.
  11. ^“A Big Data User Experience”. Retrieved 22 July 2016.
  12. ^“Active Intelligence Engine® (AIE®) Case Study: General Electric” (PDF). Retrieved 22 July 2016.
  13. ^“KPMG Spectrum: Action through Intelligence”. Retrieved 22 July 2016.
  14. ^“FIREEYE THREAT INTELLIGENCE ENGINE”. Retrieved 22 July 2016.
  15. ^“Factiva® – The Intelligence Engine” (PDF). Retrieved 22 July 2016.

Ofer Abarbanel – Executive Profile

Ofer Abarbanel online library

Ofer Abarbanel online library

Ofer Abarbanel online library

Ofer Abarbanel online library