This eBook illustrates high-impact use cases for chatbots and provides best practices for how to run a successful proof of concept (POC) with Onix.
Building a proof-of-concept for deploying machine learning-powered chatbots
Growing digital interactions mean businesses need scalable technology solutions that can evolve outdated customer service models and automate simple tasks within the enterprise. AI Chatbots have emerged as a powerful tool for businesses to boost customer service efficiency and enhance end-consumer interactions.
You will learn how to:
- Identify the right use case
- Design a solution leveraging Amazon Kendra & Amazon Lex
- Launch a proof of concept (POC)
- Validate your solution
When trying to address an issue, 66 percent of customers begin with self-service before reaching out to an agent.
Felix Kalkum, Becca Kleinstein, Damian Lewandowski, Julian Raabe. “Technology and innovation: Building the superhuman agent.” McKinsey & Company. June 22, 2020