Hybrid AI Delivers Best Results For NLP Applications

November 22nd, 2022

Boris Evelson Vice President, Principal Analyst

Rowan Curran Senior Analyst

With contributors:

Aaron Katz , Jeremy Vale , Fayzan Sabri , Jen Barton

Summary

Machine learning (ML) has been disrupting software markets for at least a decade, delivering business solutions that were previously unattainable. But ML-based AI is not a panacea. Human knowledge remains essential for many use cases, including the effective use of natural language processing (NLP). In this report, technology and data leaders will learn about challenges with ML-only NLP solutions and why hybrid AI — a combination of knowledge-based and ML-based AI — delivers the most accurate and optimized NLP solutions.

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