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Bundesliga Match Fact Win Probability: Quantifying the effect of in-game events on winning chances using machine learning on AWS

AWS Machine Learning

Ten years from now, the technological fitness of clubs will be a key contributor towards their success. Today we’re already witnessing the potential of technology to revolutionize the understanding of football. But what are the events that led to these surprising in-game swings of win probability? How it is implemented?

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How Amp on Amazon used data to increase customer engagement, Part 2: Building a personalized show recommendation platform using Amazon SageMaker

AWS Machine Learning

This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform. The platform has shown a 3% boost to customer engagement metrics tracked (liking a show, following a creator, enabling upcoming show notifications) since its launch in May 2022. Operational health.

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

AWS Machine Learning

One of the challenges when building predictive models for punt and kickoff returns is the availability of very rare events — such as touchdowns — that have significant importance in the dynamics of a game. Using a robust method to accurately model distribution over extreme events is crucial for better overall performance.

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Everything you need to know about Customer Success Software.

CustomerSuccessBox

A customer succes software is specialized software that takes the customer data from your existing tech stack to provide you with a 360-degree view of your customers and their account health. In general, this tool offloads the heavy work of tracking and managing all the customer success metrics.

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QBR in SaaS: Is the traditional QBR dead?

Totango

The traditional fixed quarterly review is being replaced by real-time performance monitoring and artificial intelligence data analysis, enabling you to stay engaged with clients between scheduled reviews. Here we’ll show you how to update your SaaS QBR strategy to keep up with the latest technology and best practices.

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How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Solution overview. About the authors.

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What to do with a ‘Watermelon Customer’?

CustomerSuccessBox

To identify a watermelon customer, the metric that would help you the most is instead the Customer Intent Score. The Customer Intent Score is a metric that measures a visitor’s willingness to accomplish a conversion goal, for example- a request for further information. Product telemetry data. But what does it tell?