Remove Accountability Remove Finance Remove Metrics Remove Scripts
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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Metrics, Measure, and Monitor – Make sure your metrics and associated goals are clear and concise while aligning with efficiency and effectiveness. Make each metric public and ensure everyone knows why that metric is measured. Interactive agent scripts from Zingtree solve this problem. Bill Dettering.

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Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Fine-tune the pre-trained model on a new custom dataset.

Scripts 76
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MLOps at the edge with Amazon SageMaker Edge Manager and AWS IoT Greengrass

AWS Machine Learning

An example of such an infrastructure consists of multiple AWS accounts that enable this collaboration and productionization of the ML models both in the cloud and to the edge devices. Data scientists evaluate the metrics of multiple model versions and request the promotion of the best model to production by triggering the CI/CD pipeline.

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Key Learnings from the Metrigy Webinar (Blog #4)

Enghouse Interactive

Providing agents with simple access to complete customer account information is imperative, as is ensuring that all customer comments are used to make the right decisions on how best to help them. This then helps identify what to avoid (process, flow, scripting, data, tools, offers). Avoid it at your peril. To summarize: 1.

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Putting Humanity in Contact Centers

Customer Relationship Metrics

The best contact center agents also are the best marketing people, sales people, finance people, and trainers. Ownership over Accountability. When your focus is on how to hold people accountable, it takes your focus off an important question: “Why do we need to hold people accountable in the first place?”. Why is that?

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Deep demand forecasting with Amazon SageMaker

AWS Machine Learning

Time series forecasting is useful in multiple fields, including retail, finance, logistics, and healthcare. Amazon Forecast is a time-series forecasting service based on machine learning (ML) and built for business metrics analysis. If you don’t have an account, you can sign up for one. Solution overview.

Metrics 82
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Call Flow in a Contact Center: All You Need to Know

JustCall

Improved Metrics From the above benefits of call flow, it is evident that it improves the overall performance of the call center as a whole. As such, it can be a reflection of key performance metrics like CSAT scores, average handle time, average hold times, FCR, net promoter score (NPS), etc., Every call is a roll of the dice.