How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]
By Jocelyn Hoppa
November 8, 2018|
Reading time: 1 minute
“You may also like” sounds simple, but there’s a lot happening behind the scenes. Real-time recommendations work best when they take into account both the user’s needs (what is of interest to them) and your business strategy (items you need… Read more →
Keywords: business rules • collaborative filtering • financial services • government services • graph platform • graph technology • Healthcare • knowledge-based filtering • neo4j • real-time recommendations
Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics
By Jocelyn Hoppa
November 5, 2018|
Reading time: 4 minutes
Today’s most pressing data challenges center around connections, not just tabulating discrete data. Graph analytics accelerate breakthroughs across industries with more intelligent solutions. This blog series is designed to help you better leverage graph analytics so you can effectively innovate… Read more →
Keywords: ai • customer 360 • eBay ShopBot • fraud detection • graph algorithms • Graph Analytics • identity and access management • Network Monitoring • real-time recommendations • Social Networks
How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware
By Jocelyn Hoppa
November 2, 2018|
Reading time: 4 minutes
“I want to know what I know. That describes what knowledge graphs do for companies,” said Dr. Alessandro Negro, Chief Scientist at GraphAware. In this week’s five-minute interview, we discuss how GraphAware uses natural language processing to help companies gain… Read more →
Keywords: 5-minute interview • data model • fraud detection • graph algorithms • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine • textual data
Knowledge Graph Search with Elasticsearch and Neo4j
By Jocelyn Hoppa
October 9, 2018|
Reading time: 17 minutes
Editor’s Note: This presentation was given by Luanne Misquitta and Alessandro Negro at GraphConnect New York in October 2017. Presentation Summary Knowledge graphs are key to delivering relevant search results to users, meeting the four criteria for relevance, which include… Read more →
Keywords: Connected Data • ecommerce • elasticsearch • graphconnect • Knowledge Graph • machine learning • Master Data Management • natural language processing • Recommendation Engine
Meet the 2018 Graphie Award Winners
By Bryce Merkl Sasaki
September 21, 2018|
Reading time: 4 minutes
Last night at GraphConnect 2018, we announced the 11 winners of the 2018 Neo4j Graphie Awards at the conference’s closing reception. The Graphie Awards celebrate the world’s most innovative graph technology applications, recognizing success in connected data across multiple categories… Read more →
Keywords: artificial intelligence • Connected Data • digital transformation • Graph Analytics • graph platform • graph technology • graphconnect • machine learning • medical research • PageRank • risk and compliance
GraphConnect 2018 Agenda: Everything You Need to Know
By Rachel Howard
September 14, 2018|
Reading time: 1 minute
You already know there are many exciting reasons you should attend GraphConnect 2018 – and, of course, we’ve got you properly jazzed on this year’s roster of must-see presenters (including our two most recently announced keynote presenters). But the best… Read more →
Keywords: artificial intelligence • biotech • data discovery • Data Visualization • digital transformation • graph technology • graphconnect • Healthcare • Knowledge Graph • machine learning
Graph Databases for Beginners: Graph Theory & Predictive Modeling
By Joy Chao
September 5, 2018|
Reading time: 9 minutes
There’s a common one-liner, “I hate math…but I love counting money.” Except for total and complete nerds, a lot of people didn’t like mathematics while growing up. In fact, of all school subjects, it’s the most consistently derided in pop… Read more →
Keywords: graph database • Graph Theory • local bridge • Network Science • predictive analysis • predictive modeling • Social Graph • social science • structural balance • triadic closure
Powering Recommendations with a Graph Database: A Rapid Retail Example
By Jocelyn Hoppa
September 3, 2018|
Reading time: 5 minutes
It’s one thing to say that Neo4j streamlines real-time recommendations; it’s another to show you the code so you can see for yourself. In this series, we discuss how real-time recommendations support a number of different use cases, from product… Read more →
Keywords: cypher • entity-relationship diagram • facebook • graph database • graph technology • neo4j • real-time recommendations • Recommendations • Retail Recommendations • schema
Powering Recommendations with a Graph Database: Proven Business Benefits [+ Case Studies]
By Jocelyn Hoppa
August 27, 2018|
Reading time: 5 minutes
Relevant, real-time recommendations drive revenue, but they are challenging to deliver. That’s because good recommendations require bringing together so much data, surfacing the relationships between all that data and delivering just the right suggestion in context and in the moment.… Read more →
Keywords: Connected Data • data architecture • eBay • graph database • pricing engine • rdbms • real-time recommendations • Recommendations • sql • Walmart
eBay ShopBot: Graph-Powered Conversational Commerce
By Jocelyn Hoppa
August 22, 2018|
Reading time: 5 minutes
Editor’s Note: This presentation was given by Ajinkya Kale and Anuj Vatsa at GraphConnect New York in October 2017. Presentation Summary eBay ShopBot is a chatbot powered by knowledge graphs that supports conversational commerce. In creating the system, the eBay… Read more →
Keywords: ai • docker • eBay ShopBot • google cloud platform • graphconnect • knowledge graphs • Kubernetes • machine learning • natural language understanding • spark
Powering Recommendations with a Graph Database: Connect Buyer and Product Data
By Jocelyn Hoppa
August 20, 2018|
Reading time: 3 minutes
Effective recommendations increase revenue and drive up average order value. But delivering highly relevant, real-time recommendations requires as much context as possible. Connecting the user to the perfect recommendation is an art. In this three-part series, we explore using recommendations… Read more →
Keywords: customer relationship management • graph database • graph technology • nosql • personalized promotions • product recommendations • rdbms • real-time recommendations • Recommendations • relational database
Machine Learning on Graphs: 5-Minute Interview with Ajinkya Kale, Senior Applied Researcher at eBay
By Jocelyn Hoppa
July 6, 2018|
Reading time: 2 minutes
“Most people are not yet looking at graph databases from a machine-learning point of view. All the inherent knowledge we as humans use to make decisions can be encoded in a graph structure,” said Ajinkya Kale, Senior Applied Researcher at… Read more →
Keywords: 5-minute interview • chatbot • Data Visualization • eBay • Graph Databases • graph model • graph technology • Knowledge Graph • machine learning • natural language understanding
Retail & Neo4j: Network & IT Management for Retailers
By Bryce Merkl Sasaki
February 12, 2018|
Reading time: 3 minutes
In order to re-invent the value chain from linear to circular and highly connected, retailers need to modernize their IT infrastructure rapidly and cost-effectively. In addition, web-based retailers must find a way to handle scale and sophistication to remain competitive.… Read more →
Keywords: Active Directory • bloodhound • CMDB • configuration management database • graph technology • index free adjacency • it infrastructure • IT Management • it operations • Retail
Retail & Neo4j: Pricing & Revenue Management
By Bryce Merkl Sasaki
January 30, 2018|
Reading time: 4 minutes
It’s never been easier for customers to comparison shop. In a matter of minutes, customers can compare prices for a specific product across a dozen stores — and all from the comfort of home. They can even compare prices and… Read more →
Keywords: Connected Data • graph technology • Marriott • neo4j • pricing engine • relational database • Retail • retail pricing • revenue management • sql
Retail & Neo4j: Supply Chain Visibility & Management
By Bryce Merkl Sasaki
January 22, 2018|
Reading time: 4 minutes
Now more than ever, supply chains are vast and complex. Products are often composed of different ingredients or parts that move through different vendors, and each of those parts may be composed of subparts, and the subparts may come from… Read more →
Keywords: Connected Data • graph database • graph visualization • neo4j • relational database • Retail • sql • supply chain management • supply chain transparency • supply chain visibility
Retail & Neo4j: Ecommerce Delivery Service Routing
By Bryce Merkl Sasaki
January 17, 2018|
Reading time: 4 minutes
As a retailer, if you think keeping up with Amazon is expensive and time-consuming, consider the alternative: extinction. When it comes to delivery and fulfillment, Amazon is the uncontested emperor of ecommerce. Yet, their efficiency in tracking and delivering orders… Read more →
Keywords: Amazon • cypher • eBay • ecommerce • ecommerce delivery • MySQL • Retail • ruby • service routing • service-oriented architecture
Retail & Neo4j: Customer Experience Personalization
By Bryce Merkl Sasaki
January 8, 2018|
Reading time: 5 minutes
To remain viable, today’s retailers must be nimble enough to face their colossal online competition while also addressing another new reality of retail: The customer is now at the center of the value chain. In order to adapt to these… Read more →
Keywords: Connected Data • customer experience • customer experience personalization • graph analysis • graph database • graph technology • neo4j • path analytics • Recommendation Engine • Retail
Retail & Neo4j: Personalized Promotion & Product Recommendations
By Bryce Merkl Sasaki
November 6, 2017|
Reading time: 6 minutes
Today’s retailers face a number of complex and emerging challenges. Thanks to lower overhead and higher volume, online behemoths like Amazon can deliver products faster and at a lower price, driving smaller retailers out of business. In order to compete,… Read more →
Keywords: Connected Data • Cyber Monday • ecommerce • graph technology • personalized promotion • product recommendations • real-time recommendations • Recommendation Engine • Retail • Walmart
Amazon Eating Your Lunch? What Data-Driven Retailers Can Do About It [Community Post]
By Bryce Merkl Sasaki
August 31, 2017|
Reading time: 5 minutes
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Nearly every analyst of the retail industry would consider Amazon as the source of the declining… Read more →
Keywords: Amazon • Analytics • Connected Data • data silo • data-driven decision making • ecommerce • graph technology • multi-channel marketplace • recommender system • Retail
Graph Technology for Enterprise Master Data Management (MDM)
By Rachel Howard
July 14, 2017|
Reading time: 8 minutes
Editor’s Note: This presentation was given by Aaron Wallace at GraphConnect San Francisco in October 2016. Presentation Summary Modern enterprises need to have a full, 360-view of their customers drive their bottom line. This requires the integration of data from… Read more →
Keywords: customer information management • data quality • fraud detection • graphconnect • Knowledge Graph • Master Data Management • MDM • metadata management • Pitney Bowes • single customer view
The 5-Minute Interview: Aaron Wallace, Product Manager at Pitney Bowes
By Rachel Howard
May 26, 2017|
Reading time: 3 minutes
“We knew we couldn’t come to market with the same old solution and be competitive – so we decided to explore a differentiated solution,” said Aaron Wallace, Product Manager at Pitney Bowes. As a software company prepared to enter the… Read more →
Keywords: 5-minute interview • AML • customer information management • data lineage • data quality • financial services • Master Data Management • metadata management • Pitney Bowes • Retail
Relevant Search Leveraging Knowledge Graphs with Neo4j
By Bryce Merkl Sasaki
May 5, 2017|
Reading time: 11 minutes
“Relevance is the practice of improving search results for users by satisfying their information needs in the context of a particular user experience, while balancing how ranking impacts business’s needs.”[1] Providing relevant information to the user performing search queries or… Read more →
Keywords: artificial intelligence • conceptnet • ecommerce • elasticsearch • Knowledge Graph • machine learning • natural language processing • product catalog • Recommendation Engine • user experience
Fraud Prevention with Neo4j: A 5-Minute Overview
By Bryce Merkl Sasaki
April 21, 2017|
Reading time: 4 minutes
Fraud is becoming increasingly difficult to discover and prevent as fraudsters are increasingly employing complex techniques and advanced technologies to perpetrate fraud. Who Are Today’s Fraudsters? Today, fraudsters are organized in groups, possess synthetic or manufactured identities – which in… Read more →
Keywords: credit card fraud • data science • ecommerce fraud • financial services • fraud detection • fraud pattern • fraud prevention • Fraud Rings • Insurance Fraud • pattern analysis
The 5-Minute Interview: Scott Grimes, Senior Director of Revenue Management at Marriott International
By Rachel Howard
April 7, 2017|
Reading time: 5 minutes
“With Neo4j, we’ve been able to take our average processing time from over four minutes to about 13 seconds,” said Scott Grimes, Senior Director of Revenue Management at Marriott International. When Marriott customers search for hotel rooms for certain dates… Read more →
Keywords: 5-minute interview • cypher • Marriott • neo4j • Oracle RDBMS • pricing engine • pricing strategy • relational database • revenue management • sql
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