https://insideainews.com/tag/data-driven/ Illuminating AI's Frontiers: Your Go-To News Destination. Tue, 22 Jun 2021 16:10:58 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png https://insideainews.com/tag/data-driven/ 32 32 136462205 https://insideainews.com/2021/06/21/webinar-using-external-data-to-accelerate-business-in-a-post-vaccinated-world/ https://insideainews.com/2021/06/21/webinar-using-external-data-to-accelerate-business-in-a-post-vaccinated-world/#respond Mon, 21 Jun 2021 13:00:00 +0000 https://insidebigdata.com/?p=26401 Join this webinar to learn how companies are developing insights to better prepare for growth opportunities, improve business performance and mitigate risk in a post-pandemic economy. Wednesday, June 24th, 2021 at 11:00 AM PT (2:00 PM ET)]]> https://insideainews.com/2021/06/21/webinar-using-external-data-to-accelerate-business-in-a-post-vaccinated-world/feed/ 0 26401 https://insideainews.com/2020/10/05/analyze-then-store-the-journey-to-continuous-intelligence-part-6/ https://insideainews.com/2020/10/05/analyze-then-store-the-journey-to-continuous-intelligence-part-6/#respond Mon, 05 Oct 2020 13:00:00 +0000 https://insidebigdata.com/?p=25070 This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things – lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.]]> https://insideainews.com/2020/10/05/analyze-then-store-the-journey-to-continuous-intelligence-part-6/feed/ 0 25070 https://insideainews.com/2020/09/21/analyze-then-store-the-journey-to-continuous-intelligence-part-5/ https://insideainews.com/2020/09/21/analyze-then-store-the-journey-to-continuous-intelligence-part-5/#respond Mon, 21 Sep 2020 13:00:00 +0000 https://insidebigdata.com/?p=25011 This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things – lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.]]> https://insideainews.com/2020/09/21/analyze-then-store-the-journey-to-continuous-intelligence-part-5/feed/ 0 25011 https://insideainews.com/2020/08/31/analyze-then-store-the-journey-to-continuous-intelligence-part-4/ https://insideainews.com/2020/08/31/analyze-then-store-the-journey-to-continuous-intelligence-part-4/#respond Mon, 31 Aug 2020 13:00:00 +0000 https://insidebigdata.com/?p=24936 This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things – lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.]]> https://insideainews.com/2020/08/31/analyze-then-store-the-journey-to-continuous-intelligence-part-4/feed/ 0 24936 https://insideainews.com/2020/08/17/analyze-then-store-the-journey-to-continuous-intelligence-part-3/ https://insideainews.com/2020/08/17/analyze-then-store-the-journey-to-continuous-intelligence-part-3/#respond Mon, 17 Aug 2020 13:00:00 +0000 https://insidebigdata.com/?p=24889 This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things – lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.]]> https://insideainews.com/2020/08/17/analyze-then-store-the-journey-to-continuous-intelligence-part-3/feed/ 0 24889 https://insideainews.com/2020/04/15/how-to-build-a-truly-data-driven-culture-in-2020/ https://insideainews.com/2020/04/15/how-to-build-a-truly-data-driven-culture-in-2020/#respond Wed, 15 Apr 2020 15:00:00 +0000 https://insidebigdata.com/?p=24268 In this contributed article, Kubit CEO Alex Li, discusses how many companies call themselves "data-driven" but often aren't. He outlines 4 damaging moves, from data quality missteps to ignoring benchmark analytics -- the most common and most perilous mistakes he's seen businesses make with big data analytics.]]> https://insideainews.com/2020/04/15/how-to-build-a-truly-data-driven-culture-in-2020/feed/ 0 24268 https://insideainews.com/2019/03/17/are-b2b-marketers-leave-money-on-the-table-by-ignoring-b2c-data/ https://insideainews.com/2019/03/17/are-b2b-marketers-leave-money-on-the-table-by-ignoring-b2c-data/#respond Sun, 17 Mar 2019 15:00:16 +0000 https://insidebigdata.com/?p=22243 In this contributed article, Collin Dayley, Senior Vice President Sales and Strategic Partnerships at Versium, suggests that typically, B2B data focuses on role, and firmographic information. While B2C data can reveal information providing clues to the emotional reasons and process your customers use when making buying decisions. By combining both B2C and B2B data, marketers can develop more relevant content and experiences that meet individual buyer needs. This is proven to increase the ability to contact and engage B2B buyers.]]> https://insideainews.com/2019/03/17/are-b2b-marketers-leave-money-on-the-table-by-ignoring-b2c-data/feed/ 0 22243