https://insideainews.com/tag/graph-computing/ Illuminating AI's Frontiers: Your Go-To News Destination. Thu, 16 Jun 2022 16:16:43 +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/graph-computing/ 32 32 136462205 https://insideainews.com/2022/06/15/the-worlds-most-ambitious-knowledge-graph/ https://insideainews.com/2022/06/15/the-worlds-most-ambitious-knowledge-graph/#respond Wed, 15 Jun 2022 13:00:00 +0000 https://insidebigdata.com/?p=29598 In this contributed article, editorial consultant Jelani Harper highlights how knowledge graphs have become one of the foremost expressions of Artificial Intelligence today. Almost everyone—from vendors to organizations, analysts to regulators—relies on these applications at some point to compile, harmonize, and scrutinize specialized business information.]]> https://insideainews.com/2022/06/15/the-worlds-most-ambitious-knowledge-graph/feed/ 0 29598 https://insideainews.com/2022/04/13/accelerating-graph-technology-adoption/ https://insideainews.com/2022/04/13/accelerating-graph-technology-adoption/#respond Wed, 13 Apr 2022 13:00:00 +0000 https://insidebigdata.com/?p=29025 In this contributed article, Keshav Pingali, CEO and co-founder of Katana Graph, believes that graph technology’s need is apparent – and will be even more so in the coming years with 95% of businesses stating that managing unstructured data is a serious challenge. Highlighting successes and promoting interoperability with other libraries and data processing systems will ensure that graph technology has a bright future. ]]> https://insideainews.com/2022/04/13/accelerating-graph-technology-adoption/feed/ 0 29025 https://insideainews.com/2022/04/02/franzs-allegro-cl-used-for-scheduling-the-hubble-space-telescope-discovery-of-earendel/ https://insideainews.com/2022/04/02/franzs-allegro-cl-used-for-scheduling-the-hubble-space-telescope-discovery-of-earendel/#respond Sat, 02 Apr 2022 13:00:00 +0000 https://insidebigdata.com/?p=28892 Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Graph Database technology for Entity-Event Knowledge Graph Solutions, announced that its Allegro CL (Allegro Common Lisp) dynamic object-oriented development system used by the Space Telescope Science Institute to develop the SPIKE Hubble Space Telescope observation scheduler has aided in the discovery of “Earendel,” the farthest star ever seen in the universe.]]> https://insideainews.com/2022/04/02/franzs-allegro-cl-used-for-scheduling-the-hubble-space-telescope-discovery-of-earendel/feed/ 0 28892 https://insideainews.com/2021/11/16/why-the-worlds-biggest-brands-are-betting-big-on-graph/ https://insideainews.com/2021/11/16/why-the-worlds-biggest-brands-are-betting-big-on-graph/#respond Tue, 16 Nov 2021 16:00:00 +0000 https://insidebigdata.com/?p=27645 In this contributed article, Todd Blaschka, Chief Operating Officer at leading graph analytics platform TigerGraph, discusses how graph has evolved to support digital transformation, AI, and machine learning — and it’s become a major competitive differentiator among the world’s leading companies. Organizations in virtually every industry — from financial services and healthcare to retail and manufacturing — use graph to understand their customers, reduce fraud risk, and optimize their global supply chains.]]> https://insideainews.com/2021/11/16/why-the-worlds-biggest-brands-are-betting-big-on-graph/feed/ 0 27645 https://insideainews.com/2021/09/17/the-next-wave-of-cognitive-analytics-graph-aware-machine-learning/ https://insideainews.com/2021/09/17/the-next-wave-of-cognitive-analytics-graph-aware-machine-learning/#respond Fri, 17 Sep 2021 13:00:00 +0000 https://insidebigdata.com/?p=27144 In this contributed article, editorial consultant Jelani Harper discusses a number of compelling and timely topics including manifold learning, graph embeddings, and cognitive computing.]]> https://insideainews.com/2021/09/17/the-next-wave-of-cognitive-analytics-graph-aware-machine-learning/feed/ 0 27144 https://insideainews.com/2021/06/26/the-amazing-applications-of-graph-neural-networks/ https://insideainews.com/2021/06/26/the-amazing-applications-of-graph-neural-networks/#respond Sat, 26 Jun 2021 13:00:00 +0000 https://insidebigdata.com/?p=26530 In this contributed article, editorial consultant Jelani Harper points out that a generous portion of enterprise data is Euclidian and readily vectorized. However, there’s a wealth of non-Euclidian, multidimensionality data serving as the catalyst for astounding machine learning use cases. ]]> https://insideainews.com/2021/06/26/the-amazing-applications-of-graph-neural-networks/feed/ 0 26530 https://insideainews.com/2021/06/02/knowledge-graphs-2-0-high-performance-computing-emerges/ https://insideainews.com/2021/06/02/knowledge-graphs-2-0-high-performance-computing-emerges/#respond Wed, 02 Jun 2021 13:00:00 +0000 https://insidebigdata.com/?p=26359 In this contributed article, editorial consultant Jelani Harper discusses The how increasing reliance on knowledge graphs parallels that of Artificial Intelligence for three irrefutable reasons. They’re the most effective means of preparing data for statistical AI, creditable knowledge graph platforms utilize supervised and unsupervised learning to accelerate numerous processes, and their smart inferences are a form of machine intelligence.]]> https://insideainews.com/2021/06/02/knowledge-graphs-2-0-high-performance-computing-emerges/feed/ 0 26359 https://insideainews.com/2017/03/31/linkedin-knowledge-graph-enriches-data-value/ https://insideainews.com/2017/03/31/linkedin-knowledge-graph-enriches-data-value/#respond Fri, 31 Mar 2017 12:00:42 +0000 http://insidebigdata.com/?p=17492 https://insideainews.com/2017/03/31/linkedin-knowledge-graph-enriches-data-value/feed/ 0 17492 https://insideainews.com/2016/09/28/16118/ https://insideainews.com/2016/09/28/16118/#respond Wed, 28 Sep 2016 12:00:42 +0000 http://insidebigdata.com/?p=16118 In this video from the 2016 HPC User Forum in Austin, John Feo from PNNL presents: Why use Tables and Graphs for Knowledge Discovery System? "GEMS software provides a scalable solution for graph queries over increasingly large data sets. As computing tools and expertise used in conducting scientific research continue to expand, so have the enormity and diversity of the data being collected. Developed at Pacific Northwest National Laboratory, the Graph Engine for Multithreaded Systems, or GEMS, is a multilayer software system for semantic graph databases. In their work, scientists from PNNL and NVIDIA Research examined how GEMS answered queries on science metadata and compared its scaling performance against generated benchmark data sets. They showed that GEMS could answer queries over science metadata in seconds and scaled well to larger quantities of data."]]> https://insideainews.com/2016/09/28/16118/feed/ 0 16118 https://insideainews.com/2013/10/24/use-graph-database-vs-triple-store/ https://insideainews.com/2013/10/24/use-graph-database-vs-triple-store/#comments Thu, 24 Oct 2013 17:47:15 +0000 http://inside-bigdata.com/?p=5193 When should you use a graph database? In the same amount of time it took you to ask one question, we enable you to ask a thousand questions, making it more likely that you'll discover the answer that gives you a "Urika" moment - and helps you gain competitive advantage.]]> https://insideainews.com/2013/10/24/use-graph-database-vs-triple-store/feed/ 1 5193