Customer Service Using AI and Machine Learning

Customer Service Using AI and Machine Learning

Customer Service Using AI and Machine Learning is an Intermediate level tutorial on Business, crafted by the creator, David Kay. This tutorial is an absolute step for an individual who needs to get better at his/her Business talent. It provides you a strong understanding on Business, Business Skills, Marketing, Business, Business Skills and Marketing.

Free Download - Customer Service Using AI and Machine Learning
Author David Kay
Publish Date 2/21/2020
Skill Intermediate
Duration 1h 4m
Topic Business
Video Tutorials 14
Last Update N/A

Artificial intelligence (AI) is changing the way every company does business—and it’s revolutionizing customer service. The ability not only to automate certain tasks, but also to use AI to prequalify and direct the customer service queue is a massive time-saver. This course explores the groundbreaking new solutions powered by this emerging tech. Customer service consultant David Kay reviews tools you can buy off the shelf—such as chatbots and customer interaction analysis—as well as custom-developed applications that can provide more targeted business benefit. He also explains how to effectively plan and deploy AI and machine learning-based solutions. Using these insights, you can help your service organization thrive in the era of the AI revolution.

Customer Service Using AI and Machine Learning : Video Lessons

  • Thriving in the AI revolution2m 6s
  • What are artificial intelligence (AI) and machine learning (ML)?5m 23s
  • Why now? What enabled this technology revolution?5m 28s
  • Real-world applications: How service organizations are using AI and ML4m 55s
  • Search engines: How machine learning sharpens a search4m 38s
  • Chatbots: Automating service interactions with virtual representatives5m 46s
  • Customer interaction analysis: Early warning system and coaching tools5m 35s
  • Identifying good candidates for custom AI and machine learning solutions4m 4s
  • Custom solution examples: Customer experience4m 50s
  • Custom solution examples: Operations4m 56s
  • Good business requirements for AI and ML5m 24s
  • Partnering with your engineers and data team to ensure success4m 38s
  • Evaluating success in your AI and ML projects4m 53s
  • Putting things into action1m 42s

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