Improving Customer Experience with Machine Learning and Sensor Data at Scale

We live in an increasingly connected world – from cloud software and data center hardware to medical devices, industrial machines, and consumer wearables. Whatever can be connected, will be connected. Why? Because vendors (manufacturers) seek to tap the telemetry data from these connected products to improve their customer experience. Building a big data platform from scratch to capture this opportunity is difficult, since most of the data is unstructured and requires specialized domain knowledge and engineering skills to leverage. Join four-time Vertica customer, Larry Lancaster, on our latest Data Disruptors webcast as he explains how: • His latest venture, Zebrium, uses Machine Learning to structure product telemetry into a relational system of record to ingest data in-line, at wire speed • The Zebrium cloud service platform delivers specialized tools to improve the customer support experience • Vertica has enabled each of his former companies – Glassbeam, Data Domain, and Nimble Storage – to become data disruptors in their respective domains