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The Comprehensive Guide to NICE CXone’s Latest AI-Driven Release

Expivia

With a suite of tools ranging from Enlighten Actions to Autopilot and beyond, NICE CXone is setting a new standard for what businesses can expect from their customer service technology. Enlighten Auto Summary automates these tasks, integrating with various CRMs to provide concise, accurate summaries of customer interactions.

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Meet Sophie AI: The Future of Service

TechSee

In contrast, Sophie AI is trained like today’s human agents and engineers. Sophie AI reads product documentation and support flows, observes customer service and field service interactions, and learns at each step. Furthermore, Sophie AI is built on state-of-the-art LLM management and optimization technology.

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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

This includes automatically generating accurate answers from existing company documents and knowledge bases, and making their self-service chatbots more conversational. It also provides attribution and transparency by displaying links to the reference documents and context passages that were used by the LLM to construct the answers.

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Create powerful self-service experiences with Amazon Lex on Talkdesk CX Cloud contact center

AWS Machine Learning

Contact centers are using artificial intelligence (AI) and natural language processing (NLP) technologies to build a personalized customer experience and deliver effective self-service support through conversational bots. Dustin Hubbard, Chief Technology Officer at WaFd Bank.

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ChatGPT, GPT-3, and Your Conversational AI Solution

Creative Virtual

From students using ChatGPT to complete assignments for class to me getting a little help from ChatGPT to write my latest ‘Virtual Viewpoint’ column , it certainly seems like everyone is testing it out. We developed this approach to give our customers control over the AI to create accurate, reliable chatbot and virtual agent deployments.

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Step 5 of 5: AI Self-Service Without Compromise – Human-Centric Design from a Team of CX Experts

SmartAction

While conversational AI technology is amazing and transformative for the contact center, it is only a toolset. Conversational AI self-service technology requires a CX team across seven functional disciplines. This is why data and documentation in your contact center are so important. What does a best-of-breed CX team look like?

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Build an AI-powered virtual agent for Genesys Cloud using QnABot and Amazon Lex

AWS Machine Learning

The rise of artificial intelligence technologies enables organizations to adopt and improve self-service capabilities in contact center operations to create a more proactive, timely, and effective customer experience. For more information about Archy’s OAuth requirements, refer to Prerequisites in the Archy installation documentation.