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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

For example, if you have want to build a chatbot for an ecommerce website to handle customer queries such as the return policy or details of the product, using hybrid search will be most suitable. Contextual-based chatbots – Conversations can rapidly change direction and cover unpredictable topics.

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Video Snack-Pack: Contact Center and Customer Service Leaders

Fonolo

So, this week, we put together some video you can queue up and watch. This video is mostly about their WebEx plans, with a bit of call center content, but her energy is really infectious; it’s a joy to watch. Enterprise Connect included a panel featuring: Sheila McGee-Smith, President and Principal Analyst, McGee-Smith Analytics.

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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. Search string: "Is it fast?

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E-commerce Customer Support: How BPO Can Elevate Your Service Experience

Hodusoft

Establishing real-time analytics and reporting tools, implementing robust measurement strategies, and ensuring data privacy compliance can help companies in analyzing data to derive meaningful performance metrics. Real-time Analytics and Reporting To achieve customer service excellence, businesses must be able to make data-driven decisions.

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The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

NobelBiz

Advanced analytics and machine learning algorithms are also being integrated into call center operations to predict debtor behavior and optimize contact strategies. Read Case Study Watch video The debt collection industry is at a crossroads, with technology and customer service emerging as key drivers of success.

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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.

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Crystal Ball – The Call Center of the Future: 2025

Expivia

We will route those callers to the right representatives using analytics and AI. Voice authentication will also be helpful with routing and advanced analytics. Advanced Analytics. Real-time analytics are of great benefit to you and your clients. AI Chatbots. Security Enhancements. Omnichannel Solutions.