science

Intelligence engine

Intelligence engine is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Intelligence engine rather than just read about it. In short: 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-s…

Key takeaways

Intelligence engine belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Intelligence engine to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Intelligence engine from memory before moving on to harder problems.

Reference excerpt

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.

History The first intelligence engine application appears to have been introduced in 2001 by Sonus Networks, Inc. in their patent US6961334 B1. 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. 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 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. 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.

Traits 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 provide advanced workflow automation that can trigger multiple business processes project future impact of data such as supply chain threats recommend best actions / highlight opportunities for process improvement leverage business intelligence from a variety of experts scale data visualization capabilities with the number of users

Applications Attivio Active Intelligence Engine KPMG Spectrum Intelligence Engine(s) Salesforce Service Cloud Intelligence Engine FireEye Threat Intelligence Engine Factiva Intelligence Engine Parasoft Process Intelligence Engine

See also Business intelligence (BI) Business intelligence tools Business rule management system Data mining Data science Decision management Enterprise information management Predictive analytics Prescriptive analytics

References

Worked examples

Example 1 — a first encounter with Intelligence engine

Start with the simplest possible case. Write down what Intelligence engine claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Intelligence engine before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Intelligence engine ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Intelligence engine

In research: Intelligence engine appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Intelligence engine in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Intelligence engine is common in secondary-school and first-year university syllabi. It links to neighbouring topics Big data, Business intelligence, Business terms, so understanding it makes those chapters shorter.
In everyday life: Look for Intelligence engine outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Intelligence engine in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Intelligence engine means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Intelligence engine out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Intelligence engine in simple terms?

Why does Intelligence engine matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Intelligence engine?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Intelligence engine.