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Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

In this post, we show you how to use LMA with Amazon Transcribe , Amazon Bedrock , and Knowledge Bases for Amazon Bedrock. Context-aware meeting assistant – It uses Knowledge Bases for Amazon Bedrock to provide answers from your trusted sources, using the live transcript as context for fact-checking and follow-up questions.

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What is First Call Resolution? How to Improve (+Examples)

Calabrio

This includes building knowledge bases, participating in training, and proactively engaging with customers. Actionable Insights for Continuous Improvement: Analyzing FCR data helps identify recurring customer issues, knowledge gaps, and training needs. Create a comprehensive knowledge base and utilize IVR systems.

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How To Analyze Call Center Performance: Key Metrics, Tips, and Tools

InMoment XI

This data could include: Customer call recordings (or transcriptions of those recordings) Customer feedback (surveys) Written customer interactions (email, chat, helpdesk) 4. Analyze Data Interpreting call center metrics starts with identifying patterns: what issues surface the most frequently? Do you send an email?

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How to Spot and Reduce Hidden Inefficiencies in Your Contact Center

CSM Magazine

Unusual Call Volume Peaks: Sudden surges in contact volume without corresponding seasonal drivers could point to underlying process errors or inadequate resources. For example, spikes in call volume related to billing queries could indicate unclear invoicing processes. This frees up your team to focus on more complex customer issues.

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Contact Center Management: Best Practices & Strategies for Peak Performance

Calabrio

Implement a reliable contact center call recording solution to record interactions and begin the process of turning every conversation into a source of actionable insights. Implement user-friendly knowledge bases, FAQs, and chatbots to empower customers to find answers independently.

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AI-powered assistants for investment research with multi-modal data: An application of Agents for Amazon Bedrock

AWS Machine Learning

Financial analysts and research analysts in capital markets distill business insights from financial and non-financial data, such as public filings, earnings call recordings, market research publications, and economic reports, using a variety of tools for data mining. The following diagram illustrates the technical architecture.

Data 124
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Conversational Analytics: Powerful Data Behind Business Transformation

InMoment XI

By analyzing call recordings and agent-customer transcripts, businesses can pinpoint common mistakes, identify training opportunities, and provide targeted coaching. Conversational analytics platforms first collect conversational data from various sources like call recordings, chat logs, emails, and social media interactions.

Analytics 195