NLP 101: What Your Chatbot Needs to Know

Presented by

Fran Fernandez, Chief Product Officer, Espressive

About this talk

Artificial intelligence (AI) has been thrown around as a buzzword related to chatbots for employee self-help. Unfortunately, the specific requirements of AI were not made clear, causing confusion when evaluating options. There was a belief that if you bought a chatbot you automatically acquired strong AI, and so AI became just a "checklist item" in RFPs. In reality, many chatbots have little if any AI. Now that natural language processing (NLP) is being touted as the next big requirement for chatbots, NLP is on the path to becoming the next "checklist item" . ... unless you have a clear understanding of key NLP requirements. Join Fran Fernandez, chief product officer at Espressive, as he discusses: • NLP fundamentals to provide a baseline understanding • The relationship between NLP and ticket deflection • Key NLP requirements for an employee self-help chatbot This webinar will prepare you to build a list of NLP requirements for your RFP that will enable you to confidently select a chatbot that will deliver real business value.

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Espressive, the pioneer in artificial intelligence (AI) for enterprise service management and redefines how employees get help by delivering exceptional employee experiences. Barista, the company’s virtual support agent (VSA), brings the ease of consumer virtual assistants, such as Amazon Alexa and Google Home, into the workplace. Barista automates resolution of employee questions, issues, and requests with personalized experiences that result in employee adoption of 80 to 85% and reduced help desk call volume of 40 to 60%.