Practical AI: 4 Natural Language Processing Advances
to Enhance Your Bottom Line

Practical AI: 4 Natural Language Processing Advances to Enhance Your Bottom Line

on-demand

With: 

  • Adrian Bowles, VP of Research and Lead Analyst for AI

Summary

Natural Language Processing (NLP) technologies, aided by advances in Machine Learning, have improved significantly in recent years. Natural Language Understanding technologies can capture the user’s intent better when they include emotion detection and tone using video and voice analytics. Natural Language Generation technologies for conversational systems provide more personalized narratives when they use a tone that complements the user’s tone.

As the variety of NLP solutions increases, and the cost and complexity to deploy diminishes, NLP adoption will increase for internal enterprise applications and customer-facing solutions.

So, what does this all mean for your enterprise?

NLP-enhanced applications deliver value by improving customer journeys through interactive customer engagement, improving business intelligence and insights, and helping increase the bottom line.

Join VP Research Adrian Bowles for this live webinar to learn:

  • The basics of Advanced Natural Language Processing: understanding Natural Language Understanding and Natural Language Generation
  • The technologies available to business leaders looking to add NLP to their technology stack
  • The use cases for NLP in the enterprise

 

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