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Super-Agents Are Real (Blog #4)

Enghouse Interactive

AI Makes It Possible (Blog Series). Blog #4 of 4 The MORE you know. That self-service will be their first point of contact and they are willing to deal with digital assistants (chatbots, knowledge bases, voice authentication, etc.) Validate your assumptions and findings based on the next round of customer feedback analysis.

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

Expivia

Key Features: Advanced data analysis for real-time insights Predictive modeling to anticipate customer needs Customizable dashboards for a holistic view of service performance Autopilot: The Next-Gen Virtual Agent Autopilot introduces a level of automation and learning capability that redefines the role of virtual agents in customer service.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Wipro has used the input filter and join functionality of SageMaker batch transformation API. The response is returned to Lambda and sent back to the application through API Gateway. Use QuickSight refresh dataset APIs to automate the spice data refresh. Implement group-based security for dashboard and analysis access control.

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What CTOs Should Know Before Implementing Conversational AI in the Contact Center

SmartAction

It linked via API to internal data sources and current customer input to find a successful solution. Challenges (and Solutions) Conversational AI chatbots can handle a massive number of customer queries at a time, 24/7, many without a need for human intervention. Our virtual agents can solve 80% to 90% of customer problems.

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Build a powerful question answering bot with Amazon SageMaker, Amazon OpenSearch Service, Streamlit, and LangChain

AWS Machine Learning

Amazon Lex provides the framework for building AI based chatbots. We implement the RAG functionality inside an AWS Lambda function with Amazon API Gateway to handle routing all requests to the Lambda. The Streamlit application invokes the API Gateway endpoint REST API. The API Gateway invokes the Lambda function.

APIs 76
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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning

Technical challenges with multi-modal data further include the complexity of integrating and modeling different data types, the difficulty of combining data from multiple modalities (text, images, audio, video), and the need for advanced computer science skills and sophisticated analysis tools.

Marketing 102
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Guest Blog: 10 Chatbot Features That Make Your Bot More Helpful to Customers

Comm100

Chatbots are quickly becoming a long-term solution for customer service across all industries. A good chatbot will deliver exceptional value to your customers during their buying journey. But you can only deliver that positive value by making sure your chatbot features offer the best possible customer experience.