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Revolutionizing CX Management with Customer Experience Analytics

Lumoa

As the volume of data companies collect grows and as artificial intelligence (AI) gets better, analytics is set to become a key differentiator for customer experience management. NLP has made feedback analytics way more accessible. Let’s explore how you can use analytics to revolutionize your customer experience.

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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning

ML Engineer at Tiger Analytics. The EventBridge model registration event rule invokes a Lambda function that constructs an email with a link to approve or reject the registered model. The Lambda function dynamically constructs an email for an approval of the model with a link to an API Gateway endpoint to another Lambda function.

APIs 101
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How RallyPoint and AWS are personalizing job recommendations to help military veterans and service providers transition back into civilian life using Amazon Personalize

AWS Machine Learning

Fortunate to work on multiple complex and impactful projects with MLSL to support the most deserving of populations, RallyPoint accelerated growth in multiple core organizational metrics in the process. Solution overview To solve the problem, MLSL collaborated with RallyPoint to construct a custom Amazon Personalize pipeline for RallyPoint.

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Call Center Quality Management: A Comprehensive Guide to Improving Customer Satisfaction and Agent Performance

NobelBiz

Using technology to record and analyze each and every customer encounter, developing and employing evaluation criteria, teaching and training agents, reporting and monitoring quality metrics are all part of call center quality management. Feedback should be specific, constructive, and actionable.

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Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

AWS Machine Learning

We also share the key technical challenges that were solved during construction of the Face-off Probability model. The decision tree provided the cut-offs for each metric, which we included as rules-based logic in the streaming application. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics.

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

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Is the Contact Center a Good Career? Tenured Agents Say Yes

Balto

The whole team benefits before, during, and after an internal promotion.” – Michelle Barbeau, Senior Customer Enablement Manager The only metric which didn’t improve linearly with rate of internal promotion was whether or not respondents were actively working towards a promotion. Suddenly, their work has greater meaning and impact.