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Connecting Satisfaction With Behavior: Does The Service-Profit Chain (or The Employee Engagement-Profit Chain) Still Work?

Beyond Philosophy

For the past two decades, it has been the analytical foundation used by many organizations to assess the health of their company. So the key takeaways from Ms Wyse’s summary is that satisfaction principally measures attitudes, which are passive, reactive, and tactical, and that this metric has little connection to value-related behavior.

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17 Surprising Stats About Call Centers

Fonolo

The 80/20 service level metric used by call centers does not, in fact, fit for most call centers. The longest hold time on record lasted five hours, 40 minutes and one second ; in 2012, a customer was placed on hold by Australian Airlines for this jaw-dropping duration. Concentrix Analytics Practice Lead. That’s a whopping 25.2%

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Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

AWS Machine Learning

This process enhances task-specific model performance, allowing the model to handle custom use cases with task-specific performance metrics that meet or surpass more powerful models like Anthropic Claude 3 Sonnet or Anthropic Claude 3 Opus. Under Output data , for S3 location , enter the S3 path for the bucket storing fine-tuning metrics.

APIs 129
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Fireside Chat: Natero Shares Tips for Customer Success

Satrix Solutions

Read our interview: Evan Klein: How has the Customer Success industry changed since Natero was first founded in 2012? The title of “Customer Success Manager” wasn’t ubiquitous back in 2012, but today it’s the third most promising job of 2018 according to LinkedIn. What do you advise they focus on?

SaaS 60
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Achieve enterprise-grade monitoring for your Amazon SageMaker models using Fiddler

AWS Machine Learning

Through model monitoring, model explainability, analytics, and bias detection, Fiddler provides your company with an easy-to-use single pane of glass to ensure your models are behaving as they should. The notebook also provides a sample dataset to run Fiddler’s explainability algorithms and as a baseline for monitoring metrics.

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Detect and protect sensitive data with Amazon Lex and Amazon CloudWatch Logs

AWS Machine Learning

One risk many organizations face is the inadvertent exposure of sensitive data through logs, voice chat transcripts, and metrics. At the same time, it’s crucial to make sure these security measures don’t undermine the functionality and analytics critical to business operations.

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AI-powered code suggestions and security scans in Amazon SageMaker notebooks using Amazon CodeWhisperer and Amazon CodeGuru

AWS Machine Learning

His core area of expertise include Data Analytics, Networking and Technology strategy. To use the CodeWhisperer extension, ensure that you have the necessary permissions. This policy grants permissions that allow a user to work with scans, including creating scans, viewing scan information, and viewing scan findings.