DeepWalk: Implementing Graph Embeddings in Neo4j
By Jocelyn Hoppa
September 12, 2019 10 mins read
Discover tips and strategies for implementing graph embedding into a Neo4j graph database, with plenty of Cypher examples.
Explore: artificial intelligence • community detection algorithm • deep learning • DeepWalk • graph algorithms • Graph Analytics • graph database • graph embeddings • java • machine learning
Accelerating Towards Natural Language Search with Graphs
By Jocelyn Hoppa
August 29, 2019 5 mins read
Learn how graphs are used for natural language processing, including loading text data, processing it for NLP, running NLP pipelines and building a knowledge graph.
Explore: ai • APOC • artificial intelligence • data storage • Graph Algorithm • graph database • Knowledge Graph • natural language processing • natural language query • neo4j
AI & Graph Technology: What Are Knowledge Graphs?
By David Penick
August 5, 2019 4 mins read
Read the second installment of this blog series on artificial intelligence on the ways knowledge graphs add context for decision support.
Explore: AI / Machine Learning • artificial intelligence • Graph Algorithm • graph algorithms • graph database • graph technology • Knowledge Graph • machine learning • natural language processing • neo4j
AI and Graph Technology: 4 Ways Graphs Add Context
By David Penick
July 29, 2019 5 mins read
Read the first installment of this blog series on artificial intelligence on the ways graph technology adds necessary context for powerful AI solutions.
Explore: ai • AI explainability • artificial intelligence • deep learning • graph algorithms • graph database • Graph Databases • graph technology • knowledge graphs • machine learning
Deciphering Product DNA: Next-Level PDM with AI & Knowledge Graphs
By Jocelyn Hoppa
July 9, 2019 4 mins read
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… Read more →
Explore: ai • artificial intelligence • bill of materials • ERP • knowledge graphs • machine learning • manufacturers • natural language processing • pdm • PIM
Toward AI Standards: Graph Technology for Responsible AI
By Jocelyn Hoppa
July 2, 2019 3 mins read
Read the first installment of this four-part series on how graphs provide the context artificial intellingence needs to remain reliable and trustworthy.
Explore: AI applications • AI solutions • Amazon • artificial intelligence • contextual information • decision path • graph platforms • graph technology • machine learning • twitter
Graphs in Automotive & Manufacturing: Unlock New Value from Your Data [Video]
By Allison Wu
June 27, 2019 1 min read
Check out this webinar on using graph database technology in the manufacturing and automotive industries, including the use of graph algorithms in AI.
Explore: ai • artificial intelligence • automotive • bill of materials • graph algorithms • logistics • machine learning • manufacturing • supply chain management • webinar
Toward AI Standards: Why Context Is Critical for Artificial Intelligence
By Bryce Merkl Sasaki
June 24, 2019 3 mins read
Learn what Neo4j CEO Emil Eifrem believes is the most critical component of both technical and ethical standards for AI – and how we might make it happen.
Explore: ai • AI standards • artificial intelligence • graph technology • Knowledge Graph • logic processing • machine learning • National Institute of Standards and Technology • NIST • Panama Papers
Improving Machine Learning Predictions Using Graph Algorithms [Video]
By Bryce Merkl Sasaki
June 20, 2019 1 min read
Watch this webinar on how graph algorithms are reinventing the field of intelligent applications by improving the predictability of AI and ML models.
Explore: ai • artificial intelligence • feature selection • graph algorithms • link prediction • machine learning • machine learning predictions • ML • overfitting • webinar
The Present and Future of Artificial Intelligence and Machine Learning
By Jocelyn Hoppa
June 12, 2019 18 mins read
Discover how we can methodically explore capabilities related to artificial intelligence and machine learning to successfully predict the future.
Explore: ai • AI ethics • AI technology • artificial intelligence • Big Data • graphconnect • machine learning • machine learning technology • modern computing • natural language generation
Think About What You’re Building: 5-Minute Interview with Stephen O’Grady
By Jocelyn Hoppa
May 17, 2019 3 mins read
Check out this 5-minute interview with Stephen O’Grady, Co-Found of Redmonk, on how developers should consider the broader implications of what they build.
Explore: 5-minute interview • artificial intelligence • deep learning • graph database • graph technology • Hillary Mason • IoT • machine learning • neo4j • Stephen O'Grady
Tackling Hard Problems Head-On: 5-Minute Interview with Hilary Mason, General Manager for Machine Learning at Cloudera
By Jocelyn Hoppa
January 25, 2019 4 mins read
“Bad ideas are the gateway to the best ideas,” said Hilary Mason, General Manager for Machine Learning at Cloudera. Problems that look impossible intrigue Mason, the founder of Fast Forward Labs (now Cloudera Fast Forward Labs). If clients only bring… Read more →
Explore: 5-minute interview • ai • artificial intelligence • Cloudera • data science • graph technology • Hilary Mason • machine learning • machine learning analysis • neo4j
Graph Algorithms in Neo4j: Graph Technology & AI Applications
By Jocelyn Hoppa
November 12, 2018 3 mins read
Graph technologies are the scaffolding for building intelligent applications, enabling more accurate predictions and faster decisions. In fact, graphs are underpinning a wide variety of artificial intelligence (AI) use cases. This blog series is designed to help you better leverage… Read more →
Explore: ai • artificial intelligence • graph algorithms • Graph Analytics • graph platform • graph technology • Graph Visualizations • Knowledge Graph • machine learning • PageRank
We Just Closed the Largest Single Investment in the Graph Space. Now What?
By Bryce Merkl Sasaki
November 1, 2018 5 mins read
I’m thrilled to announce that Neo4j has just closed $80 million in a series E funding round. We are happy to welcome One Peak Partners and Morgan Stanley Expansion Capital to the graph of Neo4j funders. I’d also like to… Read more →
Explore: ai • artificial intelligence • Connected Data • fraud detection • graph database • graph technology • machine learning • ML • neo4j • Recommendation Engine
NLP at Scale for Maintenance and Supply Chain Management
By Jocelyn Hoppa
October 24, 2018 14 mins read
Editor’s Note: This presentation was given by Ryan Chandler at GraphConnect New York in October 2017. Presentation Summary Caterpillar is a 90-year-old company that manufactures large industrial machinery, including some autonomous vehicles. For the last decade, the company has been… Read more →
Explore: artificial intelligence • Caterpillar • cypher • graph database • graph query • graphconnect • knowledge representation • machine learning • natural language processing • supply chain management
ICYMI: (Mostly) Everything Important that Happened at GraphConnect 2018
By Bryce Merkl Sasaki
September 25, 2018 4 mins read
Unless you live under a graph database rock, then you know that the biggest graph technology event of the year – GraphConnect 2018 – happened last week, and it was wondrous to behold. From September 20-22, Neo4j customers, partners, celebrities,… Read more →
Explore: artificial intelligence • Connected Data • graph database • graph platform • graph technology • graphconnect • Graphs4Good • Hilary Mason • machine learning • Neo4j 3.5
Meet the 2018 Graphie Award Winners
By Bryce Merkl Sasaki
September 21, 2018 4 mins read
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 →
Explore: artificial intelligence • Connected Data • digital transformation • Graph Analytics • graph platform • graph technology • graphconnect • machine learning • medical research • PageRank
GraphConnect 2018 Agenda: Everything You Need to Know
By Rachel Howard
September 14, 2018 1 min read
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 →
Explore: artificial intelligence • biotech • data discovery • Data Visualization • digital transformation • graph technology • graphconnect • Healthcare • Knowledge Graph • machine learning
Hilary Mason [ML at Cloudera] & Stephen O’Grady [Principal at RedMonk] Will Keynote at GraphConnect 2018
By Bryce Merkl Sasaki
September 7, 2018 2 mins read
We’re pleased to announce the addition of two phenomenal keynote speakers to the already-awesome lineup of presenters at GraphConnect 2018 in New York City. (Psst: Register now if you haven’t already, as space is limited!). Morning Keynote Speaker: Hilary Mason,… Read more →
Explore: ai • Application Development • artificial intelligence • Cloudera • Graph Databases • graph technology • graphconnect • machine learning • ML • software development
The ROI on Connected Data: How Connections Unlock Business Value [feat. eBay]
By Bryce Merkl Sasaki
June 5, 2018 5 mins read
The value of data comes from an organization’s ability to understand it in relation to other data. By itself, data offers finite value. When connected, data’s value is infinite. Case in point: There’s a difference between knowing that a customer… Read more →
Explore: artificial intelligence • Connected Data • data lake • eBay • graph technology • IoT • Knowledge Graph • Metcalf's Law • natural language understanding • rdbms
Are You the GraphConnect 2018 Presenter We’ve Been Looking for? [CFP Is Now Open!]
By Bryce Merkl Sasaki
June 1, 2018 2 mins read
Bad news droids: You’re not the presenters we’re looking for. However, we’ll need some help finding the perfect presenters for GraphConnect 2018. That’s why the Call for Papers (CFP) is now open! Wait, What’s GraphConnect? Connected data isn’t just powering… Read more →
Explore: API integration • artificial intelligence • call for papers • CFP • Connected Data • digital transformation • graphconnect • GraphQL • machine learning • polyglot persistence
Machine Learning, Graphs and the Fake News Epidemic (Part 1)
By Bryce Merkl Sasaki
August 2, 2017 4 mins read
Regardless of your political affiliation or demographic it’s difficult to deny the effects of the recent fake news boom. The Pew Research Center conducted a survey that found that two in three adults in U.S. believe that the upsurge of… Read more →
Explore: ai • artificial intelligence • BuzzFeed News • Connected Data • fake news • graph database • graph technology • Knowledge Graph • machine learning • machine learning algorithms
Relevant Search Leveraging Knowledge Graphs with Neo4j
By Bryce Merkl Sasaki
May 5, 2017 11 mins read
“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 →
Explore: artificial intelligence • conceptnet • ecommerce • elasticsearch • Knowledge Graph • machine learning • natural language processing • product catalog • Recommendation Engine • user experience
The 5-Minute Interview: Cindee Madison, Data Engineer at Gallium Artistic Services
By Rachel Howard
February 3, 2017 3 mins read
“Using artificial intelligence, we’re creating what you could call a social network of the mind,” says Cindee Madison, Data Engineer at Gallium Artistic Services. With tools such as IBM Watson — which provides the technology that allows robots to check… Read more →
Explore: 5-minute interview • ai • artificial intelligence • data model • Data Relationships • graph database • Graph Theory • IBM Watson • relational database • social network
