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AI in Customer Service: Chatbots and ChatGPT are just the Start

TechSee

While initial conversations now focus on improving chatbots with large language models (LLMs) like ChatGPT, this is just the start of what AI can and will offer. Similarly, AI easily scales up and down to meet changing demands, eliminating long wait times and poor CX during mass service events or seasons.

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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning

Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. To assist those who may be starting with a blank canvas, Amazon Lex provides the Amazon Lex automated chatbot designer.

Chatbots 100
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Building AI chatbots using Amazon Lex and Amazon Kendra for filtering query results based on user context

AWS Machine Learning

When the user signs in to an Amazon Lex chatbot, user context information can be derived from Amazon Cognito. The Amazon Lex chatbot can be integrated into Amazon Kendra using a direct integration or via an AWS Lambda function. The use of the AWS Lambda function will provide you with fine-grained control of the Amazon Kendra API calls.

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The Game-Changer: Why Omnichannel Comms is Critical for Gaming

Comm100

As player preferences evolve and competition intensifies, gaming companies must leverage every technological advantage at their disposal. Whether it’s via live chat , SMS , AI chatbot , or ticketing , players expect a consistent, high-quality interaction across every channel. However, not all chatbots are created equal.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Whenever drift is detected, an event is launched to notify the respective teams to take action or initiate model retraining. Event-driven architecture – The pipelines for model training, model deployment, and model monitoring are well integrated by use Amazon EventBridge , a serverless event bus.

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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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Exploring Generative AI in conversational experiences: An Introduction with Amazon Lex, Langchain, and SageMaker Jumpstart

AWS Machine Learning

Generative AI chatbots have gained notoriety for their ability to imitate human intellect. As of this writing, companies of all sizes want to use this technology but need help figuring out where to start. Finally, we use a QnABot to provide a user interface for our chatbot.

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