Data Disruptors: Build augmented analytics with NLQ and the power of a question

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Presented by

Saurabh Mishra, Director Data Analytics; Varun Gaur, Director Product Management; Paige Roberts, Vertica

About this talk

With Lumenore’s “Ask Me” Natural Language Query (NLQ) feature, you can ask your data questions in your own language and get clear answers, whether in a dashboard, a chart, an email, or the response of your choice. This powerful augmented analytics capability puts a lot of demands on the underlying infrastructure. Come learn what it does, how it works, how it can democratize analytics in your business, and why Lumenore uses Vertica to power this cutting-edge capability.

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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.