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Glassbox Announces Integration with AWS Machine Learning

NEW YORK – Glassbox, the leading enterprise Digital Customer Management solution, today announced its integration with AWS Machine Learning. Glassbox customers can now rapidly and continuously generate advanced automatic, predictive and omni-channel insights from the combined solutions.

The combination of Glassbox and AWS Machine Learning greatly widens the scope of data analysis available to organizations. Data scientists can now quickly and easily drive insights from Glassbox data to answer essentially any question they have, no matter how specific to their business. The integration also enables omnichannel analytics; Glassbox’s digital data can be poured into AWS ML models and correlated with data from other channels for deeper insights.

“This integration ensures that our customers are always at the cutting edge of machine learning developments and that Glassbox leverages the huge investments Amazon has made in this domain over the last few years,” said Yaron Gueta, Glassbox co-founder and CTO. “We are thrilled to offer this functionality to all enterprises, whether they are already using AWS or wish to use Glassbox’s AWS environment.”

This announcement is part of Glassbox’s ambitious machine learning agenda, which includes out-of-the-box functionality and more advanced capabilities tailored for power users. Dynamic baselining, anomaly detection and struggle analysis are available out of the box, while the integration with AWS Machine Learning enables data scientists to easily apply the most advanced machine learning models to Glassbox data for any industry-specific enterprise use case.

AWS Machine Learning provides visualization tools and wizards that guide users through the process of creating machine learning models without having to learn complex ML algorithms and technology. By feeding AWS Machine Learning – in real time – with the massive amount of digital data captured by Glassbox, enterprises can create and automate a vast range of predictive analytics and workflows that optimize management of the digital customer experience.

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