Gartner Research

Critical Capabilities for Insight Engines

Summary

Insight engines provide a range of capabilities to extract and contextualize data in support of digital dexterity and automation. Applications and software engineering leaders should view insight engines as a key component of digital workplace and hyperautomation.

Published: 30 March 2021

ID: G00465453

Analyst(s): Stephen Emmott Anthony Mullen

Table Of Contents

Overview

Strategic Planning Assumption(s)

What You Need to Know

Analysis

  • Coveo
  • Elastic
  • EPAM
  • Expert.ai
  • Funnelback
  • Google
  • IBM
  • IHS Markit
  • IntraFind
  • Lucidworks
  • Micro Focus
  • Microsoft
  • Mindbreeze
  • Sinequa
  • Squirro
  • Ability to Analyze Result Sets
  • Ability to Include Key Data Sources
  • Architecture and Deployment Model
  • Data Enrichment
  • Delivery to Various Touchpoints
  • Ease of Use (Admins and SMEs)
  • Evaluate and Tune Relevance
  • Multiple Languages
  • Personalization
  • Security
  • Query Input Flexibility
  • Internal (Intranet) Search
  • External (Website) Search
  • Extraction of Data for Analytics and Automation
  • Insight Applications

Inclusion Criteria

Gartner Recommended Reading

Critical Capabilities Methodology

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