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AI and machine learning central to ThoughtSpot update

New augmented intelligence and machine learning tools, along with a new mobile app, highlight the release of the new update to the ThoughtSpot business intelligence platform.

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Promethium launches analytics software with AI, NLP

The software, called Data Navigation System, was designed to enable non-technical users to make complex SQL requests using plain human language and ease the delivery of data.

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TruFactor's data services used to further urban planning

Cobalt Community Research, a nonprofit organization based in Michigan, uses data collected and packaged by TruFactor for urban planning projects.

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GoodData, AWS reach partnership agreement

GoodData partners with Amazon Web Services to allow the vendor's users to store and manage their data in Amazon Redshift, a cloud data warehouse powered by AWS.

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  • Eric Avidon asks:

    How has ThoughtSpot's early focus on augmented intelligence and machine learning affected the ease of use of its BI platform?

  • Eric Avidon asks:

    How do you think the added augmented intelligence and machine learning capabilities in ThoughtSpot 6 will make it easier for users to get insight from their data?

  • Tanner Harding asks:

    How would natural language processing in AI be useful with your data analytics software?

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Business Analytics/Business Intelligence Basics

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    big data analytics

    Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make...

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    business intelligence (BI)

    Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers and other corporate end users make informed business decisions.

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    Ethical data mining and analytics elude privacy, usage snafus

    This handbook examines the ethics of data mining and offers advice on missteps to avoid when mining and analyzing customer data to help drive marketing campaigns.

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