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Expert commentary: Closing the CX Gap between Customer Expectations and Business Reality

Comm100

For example, using Amazon for its convenient one-click checkout feature creates an experience of what easy looks and feels like, becoming a kind of de facto standard that customers could use, whether subconsciously or entirely consciously, as a gauge during their online experience with your organization.

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Making Informed Predictions Around Emerging Trends

NetBase

The restaurant and retail industries have been particularly hard-hit – as have travel and hospitality. Likewise, as travel ground to a halt, AirBnB looked to be in quite a pinch. Instead of hosts offering homes for rent, talented hosts offer online classes and virtual tours that have been a hit for would-be travelers stuck at home.

Trends 105
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Minimize the production impact of ML model updates with Amazon SageMaker shadow testing

AWS Machine Learning

You can then compare the performance of the two versions using metrics such as latency and error rate. Optionally, you can monitor the variants through a built-in dashboard with a side-by-side comparison of the performance metrics. You can choose to discard or log the responses of the shadow variant for offline comparison.

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QR Code Marketing for Mobile First Brands 

Optimove

A frictionless user experience. They’re great for tracking and analytics: QR codes can be easily tracked and monitored as you can measure metrics such as scan rates, geographic distribution, and user engagement and make data-driven decisions for future campaigns. The result?

Brands 52
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Brand Move Roundup – May 6, 2020

C Space

People fundamentally are still going to want to travel, but I don’t think travel will look like it used to – I think it will be permanently altered,” said Chesky. With travel grounded, media organizations have noted that their audiences still want to read about new experiences and destinations.

Brands 52
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Digital Experience: Meeting Customer Expectations

InMoment XI

The digital customer experience has become an essential part of the way that consumers navigate the marketplace. They don’t view a transaction as an online experience, a mobile app experience, or a customer service experience, they view it as one continuous experience that they had.

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MLOps deployment best practices for real-time inference model serving endpoints with Amazon SageMaker

AWS Machine Learning

A/B testing is used in scenarios where closed loop feedback can directly tie model outputs to downstream business metrics. Shadow testing is used in situations where there is no closed loop feedback mapping a business metric back to a model’s predictions. In his spare time, he enjoys reading, gaming, and traveling.

Metrics 81