Remove Chatbots Remove Construction Remove Self service
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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. This includes automatically generating accurate answers from existing company documents and knowledge bases, and making their self-service chatbots more conversational.

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Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

AWS Machine Learning

Enterprises with contact center operations are looking to improve customer satisfaction by providing self-service, conversational, interactive chat bots that have natural language understanding (NLU). Users of the chatbot interact with Amazon Lex through the web client UI, Amazon Alexa , or Amazon Connect.

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9 Contact Center Quality Assurance Best Practices: Modernize Your Approach, Optimize Your Performance

Calabrio

Frame the process as an opportunity for them to hone their skills, receive constructive feedback, and contribute to the overall success of the team and the company. While it can be tough to carve on one-on-one time, offering consistent and constructive feedback is vital for agent development.

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The State of Automated Customer Service in 2023

Comm100

Other customer service automation may provide agents with AI tools to help them provide faster or more accurate support. In customer service, automation is commonly seen in the form of chatbots. Chatbots can respond to customer queries, answering the common requests, immediately and 24/7. Travel: 16%. Education: 14%.

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Add conversational AI to any contact center with Amazon Lex and the Amazon Chime SDK

AWS Machine Learning

In traditional contact centers, one solution for long hold times is enabling self-service options for customers using an Interactive Voice Response system (IVR). With Amazon Lex , you can build powerful, multi-lingual conversational AI systems and elevate the self-service experience for your customers with no ML skills required.

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Accenture creates a Knowledge Assist solution using generative AI services on AWS

AWS Machine Learning

Accenture has integrated this generative AI functionality into an existing FAQ bot, allowing the chatbot to provide answers to a broader array of user questions. Using this context, modified prompt is constructed required for the LLM model. Several webpages were ingested into the Amazon Kendra index and used as the data source.

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Self-Driving Cars and Self-Service Contact Centers: How Close are We?

Vistio

Also, they contained no information on traffic jams, construction, or weather conditions. Robotic Process Automation (RPA), chatbots, workflow engines, Natural Language Processing (NLP), and Artificial Intelligence (AI)—the list goes on. How much further to your destination? How long would it take to get there? When would you need gas?