Gartner Magic Quadrant for Insight Engines 2021
Sinequa Recognized as a 2021 Magic Quadrant Leader for Insight Engines
Sinequa is thrilled to be recognized as one of only four vendors named in the Leaders Quadrant in the Gartner’ 2021 Magic Quadrant for Insight Engines, which evaluated 15 vendors total. This comes after been positioned repeatedly as a Leader in the Gartner Magic Quadrant for Insight Engines, 2019, 2018, 2017 and in the Gartner Magic Quadrant for Enterprise Search in 2015.
What are Insight Engines?
Gartner defines insight engines as systems that apply relevancy methods to discover, describe, organize and analyze content and data. They enable preexisting or newly synthesized information to be delivered proactively or interactively, in context, to digital workers, customers and others at timely business moments.
Insight engines represent an evolution of search and natural language technologies (NLTs). They deliver information in context to people (content in context) and to support machine automation (data in context). They do this by connecting to varied sources and types of content (such as documents in content services platforms) and data (such as records in operational database management systems) in order to build an index of extracted data that can be queried by people and machines. Connectors and pre-index processing are used to gather and enrich data before it is indexed; touchpoints and post-query processing are used to simplify the experience for people. Insight engines should be viewed as platforms on which multiple insight applications are provided and developed.
“Leaders demonstrate a strong understanding of the insight engine market, along with marketing plans that differentiate and communicate value to reach buyers across a range of use cases. They have the sales or geographic strategy to exploit their marketing effectively. Offering products that demonstrate strength across the broadest range of critical capabilities, they have strong overall viability, sales execution and operations. Customers praise their experiences of Leaders’ products or services, and of the vendors themselves. However, potential customers should note that a Leader is not always the best choice. A smaller, more focused vendor could potentially provide excellent support for, and commitment to, individual needs. “
About Magic Quadrant for Insight Engines
Insight engines combine search with AI to deliver actionable insights derived from the full spectrum of content and data sourced within and external to the enterprise. This allows existing or synthesized information to be delivered proactively or interactively, and in the context of digital workers, customers or constituents at timely business moments.
Key findings:
- Expert perspectives and strategic planning assumptions
- Analysis of relevant trends, including why “insight engine technology is critical”
- Detailed evaluation of the key differentiators across available technologies and vendors
About Gartner
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DISCLAIMERS:
Gartner, Magic Quadrant for Insight Engines, 17 March 2021, Stephen Emmott , Anthony Mullen
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This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Sinequa.
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