Improving Customer Experience with Machine Learning and Sensor Data at Scale

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Presented by

Larry Lancaster, Zebrium

About this talk

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

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The Vertica Unified Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Uber, and more. Based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability, Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads. Vertica unites the major public clouds and on-premises data centers, as needed, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed system, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.