Presented by
Jordi Torras, Inbenta's CEO
Machine Learning Versus Symbolic AI
About this talk
Since its foundation as an academic discipline in 1955, Artificial Intelligence (AI) research field has been divided into different camps, of which symbolic AI and machine learning. While symbolic AI used to dominate in the first decades, machine learning has been very trendy lately, in this BrightTalk we discuss each of these approaches and their main differences when applied to Natural Language Processing (NLP) ... and which is best for the growth of your business!
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Inbenta develops an Automatic Language Processing (or Natural Language Processing – NLP) engine, which provides answers to human intentions formulated in natural language.
This Artificial Intelligence is built on a deterministic approach: the machine acts according to specific rules exclusively validated by humans, which prevents all unethical behaviors and abuses.
Based on this proprietary and patented technology, Inbenta builds a set of conversational solutions for businesses such as chatbots, knowledge management tools and search engines.