Glassbox Integrates with AWS Machine Learning

By Paula Bernier, Executive Editor, TMC  |  November 07, 2018

Personalization has become a key theme in marketing. But to deliver personalized messages and solutions, businesses first need to understand who their customers and prospects are, how they act and why, and what they want and need.

This business imperative has given rise to companies like Glassbox. The company – which has offices in New York, London, and Petah Tikva in Israel – employs application monitoring, behavioral analytics, big data, free-text search, and session replay capabilities so enterprises can see what online and mobile customers are doing and why they are doing it.

And today Glassbox announced an integration with AWS Machine Learning that allows it to expand on those capabilities. As a result, Glassbox customers can generate advanced automatic, predictive and omni-channel insights from the combined solutions. 


“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,” Glassbox explains. “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.”

This is just one example of new solutions that leverage machine learning and/or artificial intelligence to enable businesses to be more efficient and effective in their marketing and sales efforts. At the upcoming The Future of Work Expo, you can learn about many more AI- and ML-based solutions that can improve business communications, collaboration, contact center and customer service, and marketing and sales experiences and initiatives. TMC (News - Alert) invites you to register for The Future of Work Expo, which will run Jan. 30 through Feb. 1 in Fort Lauderdale, Fla.

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