Complex Concept Extraction Is A Key Differentiator
As basic, mostly keyword-extraction-based technology becomes outdated and less effective, improved complex concept extractions (emotion, effort, intention, risk, and fraud-level tagging) will dictate which providers lead the pack. Vendors that can provide these advanced features position themselves to successfully deliver enterprisegrade text analytics solutions to their customers.
The AI-based text analytics platforms market is growing because more companies see turnkey solutions as a way to address their top text analytics challenges. This market growth is in large part due to AD&D pros increasingly preferring to buy rather than build text analytics solutions.
Forrester’s research uncovered a market in which Clarabridge, IBM, SAS, and Micro Focus lead the pack. OpenText, Attivio, Expert System, and EPAM Systems offer competitive options.
As basic, mostly keyword-extraction-based technology becomes outdated and less effective, improved complex concept extractions (emotion, effort, intention, risk, and fraud-level tagging) will dictate which providers lead the pack. Vendors that can provide these advanced features position themselves to successfully deliver enterprisegrade text analytics solutions to their customers.
The AI-based text analytics platforms market is growing because more companies see turnkey solutions as a way to address their top text analytics challenges. This market growth is in large part due to AD&D pros increasingly preferring to buy rather than build text analytics solutions.
Forrester’s research uncovered a market in which Clarabridge, IBM, SAS, and Micro Focus lead the pack. OpenText, Attivio, Expert System, and EPAM Systems offer competitive options.
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