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Best Practices for Auditing Calls to Maintain High QA Standards

TeleDirect

Data-Driven Insights Leverage analytics to spot patterns and trends from audited calls. Conduct Calibration Sessions for Accuracy Calibration sessions ensure consistency across QA teams. Data-Driven Decision Making: Use analytics to shape strategy and operations. Compare scoring and discuss discrepancies.

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Beyond Data: The Complete Guide to Conversation Intelligence for Customer Experience Excellence

BlueOcean

Real-World Applications That Drive Results The practical applications of conversation intelligence are transforming how we approach customer care: Sales Optimization Voice analytics helps identify buying signals and objections in real-time, creating syntax patterns that flag important trends for immediate action.

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AWS DeepRacer: Closing time at AWS re:Invent 2024 –How did that physical racing go?

AWS Machine Learning

Calibration issues If the car isnt calibrated to go straight when given a 0-degree action, and the left/right max values are either too high (tendency to oversteer) or too low (tendency to understeer), you are likely to get control issues and unstable behavior. My takeaways: Overall, the training approach seemed to work well.

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How To Set Up Excellent Call Center Calibration sessions?

NobelBiz

Calibration sessions serve this purpose for call centers. This article decodes the function and best practices for call calibration. Key Points: Call Center Calibration measures how well the call center works as a whole. You must assist the call center in ensuring the accuracy of its quality measurement procedures.

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Are calibration sessions necessary in an AQM environment?

DMG Consulting

Question: We’re implementing analytics-enabled quality management to perform automated evaluation of customer interactions. Do we still need to do calibration sessions? Calibration is a critical component of a successful AQM program, as it is in a traditional QM process.

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Improving air quality with generative AI

AWS Machine Learning

The attempt is disadvantaged by the current focus on data cleaning, diverting valuable skills away from building ML models for sensor calibration. The data is then stored in Amazon S3 (Step 10) and can be published to OpenAQ so other organizations can use the calibrated air quality data.

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How Artificial Intelligence Impacts the Contact Center

The Northridge Group

Artificial Intelligence includes a wide range of capabilities such as Natural Language Processing (NLP), Machine Learning and Predictive Analytics that are crucial elements to gathering and utilizing data in the contact center. What are the downsides/limits of Artificial Intelligence?