Category: Graph Databases

Feed: Neo4j Graph Database Platform. Author: Allison Wu. By Joe Depeau, Senior Pre-Sales Consultant, Neo4j | July 16, 2019Reading time: 1 minute Many players in the financial services industry already rely on Neo4j’s graph database.For more videos like this one, check out upcoming and on-demand video content in the Neo4j Webinar library.In this session, we look specifically at graphs within the financial services industry. We review the types of data typically available within a bank, illustrate the graphs formed from that data, and discuss the use cases those graphs enable and support.Use cases presented include anti-money laundering as well as ... Read More

Feed: Cambridge Intelligence. Author: Kevin Naughten. How much data can your users handle? When you’ve got a graph database packed with complex connected data and a high-performance, graph visualization application, it’s tempting to render it all on screen at once and expect the analysts to make sense of it.No matter how experienced your users are, making them wade through data to find hidden insights takes up valuable time and effort. They need to understand the key relationships in their data and make decisions fast.There’s a similar problem when choosing how to present the feature-rich options your visualization application should support ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Amy E. Hodler, Analytics & AI Program Manager | July 15, 2019Reading time: 4 minutes Last week, in part two of our series Toward AI Solutions, we explore graph technology as the fabric for AI context:“More recently, graph technologies have been increasingly integrated with machine learning and artificial intelligence solutions. These applications include using connections to predict with better accuracy, to make decisions with more flexibility, to track verifiable data lineage, and to understand decision pathways for improved explainability.” This segways nicely into this week’s series topic, which centers on how ... Read More

Feed: Neo4j Graph Database Platform. Author: Mark Needham. This week Greta Workman interviewed Mark Grover about Data Discovery at Lyft and we opened registration for the GraphConnect 2020 conference. We also learn about a tool for keeping track of applications in a micro services architecture, and Max De Marzi shows how to use motifs to solve link prediction problems. Our featured community members this week is Mark Grover, Product Manager at Lyft. He’s a former software engineer at Cloudera, Qualcomm, and more. Mark Grover – This Week’s Featured Community Member Mark impressed us with his desire to share his knowledge ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. “It was eye-popping to see the amount of good work people were doing with Neo4j,” said Lloyd Byrd, Vice President of Application Development and Technology Solutions at Convergys (recently acquired by Concentrix).Complying with the EU’s General Data Protection Regulation (GDPR) is challenging, but even more so at scale. Convergys has more than 120,000 employees worldwide and handles customer service for half of the Fortune 500, with 19,000 employees in Europe across 15 countries and over 100 clients.In this week’s five-minute interview (conducted at GraphConnect 2018 in NYC), we spoke with Lloyd Byrd, ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Ryan Boyd, Director of Developer Relations @ Neo4j | July 11, 2019Reading time: 1 minute Registration for GraphConnect 2020 is now open!Join us on April 20-22 at the Marriott Marquis Times Square in Manhattan for the largest-ever gathering of graph database developers, architects and CTOs.GraphConnect 2020 will feature speakers from around the world presenting on how Neo4j has had a bottom-line impact on their organizations – from startups to global enterprises – via a rich variety of use cases, industries and exciting innovations.Whether you’re an expert graph technologist or just getting ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Christopher Wixon, Surgeon, Savannah Vascular | July 10, 2019Reading time: 4 minutes Editor’s Note: This presentation was given by Christopher Wixon at GraphConnect New York City in September 2018.Presentation SummaryChristopher Wixon is an established vascular surgeon based in Savannah, Georgia. However, not too long ago, he was reconsidering his place in the medical world.Wixon was undergoing burnout, which is common for medical practitioners. He was especially frustrated with existing electronic data entry tools – specifically the Electronic Health Record. These tools, which were designed to aid him, ended up working against ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Dirk Möller, Area Director, CEMEA, Neo4j | July 9, 2019Reading time: 4 minutes Increasingly complex products undoubtedly require greater management of components, function and data. Classic product data management (PDM) has long reach its limits in this respect. Breaking down product DNA is now driven by artificial intelligence (AI) and knowledge graphs.In order to truly understand the complexity of current products, it’s worth taking a look at one of the most intricate consumer products – the car.An average vehicle contains 100 communication buses that transmit information inside the vehicle, as well ... Read More

Feed: Cambridge Intelligence. Author: Catherine Kearns. We talk to Denise Gosnell, Head of Global Graph Practice at DataStaxIn 2016, we proudly welcomed DataStax, leading provider of modern, scalable, distributed databases built on Apache Cassandra™, to our Technology Alliance.Their graph database, DataStax Enterprise (DSE) Graph, continues to give enterprises the power to store, identify and analyze the hidden connections between billions of data points. Through seamless integration with our graph visualization toolkit technology, users uncover insights and bring those vast datasets to life. Together, we solve real-world challenges, from fraud detection to customer 360, understanding social networks to securing the Internet ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Amy E. Hodler, Analytics & AI Program Manager | July 8, 2019Reading time: 3 minutes Last week, part one of our “Toward AI Standards” blog series set the stage for defining what responsible artificial intelligence is and how graph technology provides the necessary context to make deeply informed decisions based on intelligent data.In this week’s installment, we further break down graph technology as a natural fit for AI and machine learning projects across any industry.Graph Technology as a Fabric for Context and ConnectionsThere are no isolated pieces of information in the ... Read More