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Customer Experience Automation – Benefits and Best Practices

NobelBiz

Customer Experience Automation can encompass a range of technologies such as AI and Machine Learning, Chatbots and IVR Systems, Data Analytics and Insights. Predictive analytics: Leveraging data analytics to anticipate customer needs and behaviors, enabling proactive engagement and personalized experiences.

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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

AWS Machine Learning

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. We also used the Pearson correlation coefficient and the RMSE as general and interpretable accuracy metrics.

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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

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. The second important component of the architecture is Amazon Kinesis Data Analytics for Apache Flink.