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

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.
Recorded Dec 3 2020 57 mins
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Presented by
Saurabh Mishra, Director Data Analytics; Varun Gaur, Director Product Management; Paige Roberts, Vertica
Presentation preview: Data Disruptors: Build augmented analytics with NLQ and the power of a question

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    Broad level of comfort in stability
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    Broad level of comfort in stability
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    Faster insights and scale: Provide real-time analytics, empowering customers to make better data-driven decision faster and act at that moment
    Predictive Analytics: Database machine learning (ML) allows customers to simply adopt machine learning models to business
    Data Governance and Security: Vertica's support of Voltage’s unique format-preserving encryption combines with MicroStrategy security, allowing customers to fully leverage the value of their data while keeping data secured and trusted
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    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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    - Vertica 10.1 demonstrates our continued commitment to broad, powerful in-database machine
    learning by including our most requested algorithm – XGBoost.
    - Management Console makes administering Vertica in the cloud even easier.
    - Support for complex data types in Parquet reaches complete in this version.
    - Eon Mode enhances robustness of support to Google Cloud, and even broader feature sets are
    possible as Vertica goes beyond the 1600 column limit.

    In this Partner Enablement Webinar, we have an excellent speaker, Mark Lyons, Vertica Product Management, who will introduce Vertica 10.1 along with an in-depth view into our roadmap.

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    By 2025, 463 exabytes will be created every 24 hours worldwide. That means a world of opportunity for advertisers to train algorithms against massive data sets, and use machine learning to find their most lucrative opportunities.

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    Background information:
    H2O.ai, a Silicon Valley founded business, ranked by Gartner as a visionary company, automates machine learning, bringing AI within reach of every company and business users.
    Vertica is the Unified Analytics Warehouse designed for big data that allows you to run your queries and analytics without any compromise in terms of high-concurrency, speed and scalability, and is infrastructure-agnostic.

    Both world-class technologies have enabled thousands of customers in various industries (telecommunications, retail, banking, insurance, health care, pharma, etc.) to accelerate their AI transformations, shortening the end-to-end analytics pipeline and drastically improving the accuracy of predictive models.

    Please note that by registering for this event, our partner and co-host of this webinar H2O.ai may contact you with information about webinars and other news, products, or services that may be of interest to you.
Data Analytics without Limits
The Vertica 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, Intuit, Uber and more. Vertica delivers speed, scale and reliability on mission-critical analytics at a lower total cost of ownership than legacy systems. All based on the same powerful, unified architecture, the Vertica Analytics Platform provides you with the broadest range of deployment models, so that you have complete choice as your analytical needs evolve. Deploy Vertica on-premise, in the clouds (AWS, Azure and GCP), on Apache Hadoop, or as a hybrid model. Find more information on Vertica at www.vertica.com.

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  • Title: Data Disruptors: Build augmented analytics with NLQ and the power of a question
  • Live at: Dec 3 2020 4:00 pm
  • Presented by: Saurabh Mishra, Director Data Analytics; Varun Gaur, Director Product Management; Paige Roberts, Vertica
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