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Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

AWS Machine Learning

In some use cases, particularly those involving complex user queries or a large number of metadata attributes, manually constructing metadata filters can become challenging and potentially error-prone. The extracted metadata is used to construct an appropriate metadata filter. it will extract “strategy” (genre) and “2023” (year).

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A generative AI-powered solution on Amazon SageMaker to help Amazon EU Design and Construction

AWS Machine Learning

The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon Warehouses across Europe and the MENA region. Fine-tuned LLM – We constructed the training dataset from the documents and contents and conducted fine-tuning on the foundation model.

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8 Simple Ways to Improve Agent Performance in the Call Center

Fonolo

Your current contact center platform may have analytics features to track agent activity, but it’s not the only method available. Give constructive feedback. That’s why constructive feedback is critical to your team’s development. Balancing positive and constructive feedback is key — you can find more tips on this here.

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Guest Blog: Ways to Improve Your Customer Experience Online

ShepHyken

You can also use analytics data to better understand your customer demographics, interests and behaviors. Use customer feedback constructively. There are a few ways that you can get a clear picture of your customer. Once you have this information, you can build your customer persona(s).

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How Valor Intelligent Processing Uses Speech Analytics to Improve CFPB Compliance and Agent Performance

Provana

For the last few years, collection agencies have been using call center speech analytics to help reduce delinquencies, mitigate losses, and maximize their accounts receivable recovery. Having said that, only malleable speech analytics solutions that quickly evolve as per customer preferences lead to better collection yield.

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Transforming credit decisions using generative AI with Rich Data Co and AWS

AWS Machine Learning

To efficiently use the models context window, we construct a tool selector that retrieves only the relevant tools based on the information in the agent state. With more than 20 years of experience in data analytics and enterprise applications, he has driven technological innovation across both the public and private sectors.

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Guide to Interpreting Call Center Analytics

Fonolo

Correctly interpreting call center analytics and KPIs is key to improving your operations and your customer’s experience. Call center analytics provide valuable insights that can help organizations improve their operations and customer experience. Analytics are also called key performance indicators or KPIs.