How Graphs Enhance Artificial Intelligence
By Jocelyn Hoppa
September 18, 2019 11 mins read
Explore the increasing impact of graph technology on artificial intelligence and the steps toward enhancing AI and ML with a graph database.
Explore: ai • artificial intelligence • feature engineering • graph embeddings • graphconnect • knowledge graphs • machine learning • ML • native learning • neural networks
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
Visualizing This Week in Tech
By Jocelyn Hoppa
August 15, 2019 6 mins read
Learn how to visualize common elements amongst the barrage of weekly tech stories with knowledge graphs and machine learning techniques.
Explore: ai • cypher • Data Visualization • Doc2Vec • graph algorithms • graph model • Knowledge Graph • machine learning • Named Entity Recognition • natural language understanding
AI & Graph Technology: How Graphs Accelerate Machine Learning
By David Penick
August 12, 2019 2 mins read
Read the third installment of this blog series on artificial intelligence on the ways graphs accelerate machine learning.
Explore: ai • AI / Machine Learning • Connected Data • data science • graph accelerated machine learning • graph technology • Knowledge Graph • knowledge graphs • machine learning algorithms
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
Graphs in Banking: Integration with AI & Machine Learning [Video]
By Allison Wu
July 16, 2019 1 min read
Check out this webinar on graph technology within the financial services industry, featuring use cases on fraud detection, MDM and IAM.
Explore: ai • banking • financial services • fraud • graph database • iam • machine learning • Master Data Management • MDM • webinar
Toward AI Standards: Context Makes AI More Robust
By Jocelyn Hoppa
July 15, 2019 4 mins read
Read this third blog in our series “Toward AI Standards” and discover how graph technology adds context to data relationships for more robust AI solutions.
Explore: ai • AI application • AI solution • Boeing • chatbot • Data Relationships • fraud detection • graph algorithms • graph analysis • graph platform
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
Liberating Knowledge: Machine Learning Techniques with Neo4j
By Jocelyn Hoppa
July 3, 2019 13 mins read
Explore how Hume leverages natural language understanding, graph analytics and AI capabilities to connect data and share knowledge.
Explore: ai • Connected Data • Graph Analytics • graph-based search • graphconnect • Hume • Knowledge Graph • machine learning • natural language understanding • neo4j
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
From Collections to Connections: Where Hadoop Adoption Goes from Here
By Jocelyn Hoppa
June 13, 2019 4 mins read
Learn about the evolving world of big data and how the industry is increasingly interested in connecting data rather than just collecting it.
Explore: ai • Big Data • Connected Data • data lake • data management • Data Relationships • data swamp • Data Warehousing • Hadoop • machine learning
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
NODES 2019: Launching the Neo4j Online Developer Expo & Summit!
By Bryce Merkl Sasaki
June 5, 2019 3 mins read
Discover what’s in store for Neo4j’s first-ever online summit built just for developers, engineers, data scientists and graphistas from around the globe.
Explore: ai • APOC • cypher • GRANDstack • graph algorithms • graphHack • machine learning • Neo4j Community • nodes • Recommendation Engines
This Week in Neo4j – How Graph Technology is Changing AI, Processing Neo4j Transaction Events with KSQL, Analysing Neo4j Logs with ELK Stack
By Mark Needham
May 25, 2019 4 mins read
This week Jake Graham and Alicia Frame explain How Graph Technology is changing AI, David Allen shows us how to use the ELK stack to analyse Neo4j logs and metrics, and there’s a new release of the Halin monitoring and… Read more →
Explore: ai • elk • Halin • Kubernetes • neo4j cloud • RX • spring data neo4j • twin4j
Save the Date for a Three-Day, Super-Powered GraphConnect 2020 Experience
By Jocelyn Hoppa
May 14, 2019 2 mins read
Save the date for GraphConnect 2020, April 20-22 in Times Square, New York City, and sign up to receive notifications about upcoming event details.
Explore: ai • graph technology • graphconnect • GraphTour • ML • Neo4j Community • Neo4j Online Developer Summit • streaming data
Simplifying Identity Management: 5-Minute Interview with Alex Babeanu
By Jocelyn Hoppa
February 22, 2019 3 mins read
“We’ve tried using LDAP. We’ve tried using SQL databases. It’s just a nightmare to be honest,” said Alex Babeanu, Identity Solutions Architect at Nulli. With smartphones, online services, smart devices, the number of identities that must be managed is exploding,… Read more →
Explore: 5-minute interview • access management • ai • Alex Babeanu • cypher • graph database • identity management • IoT • neo4j • SQL databases
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
The Evolution and Future of Graph Technology: Intelligent Systems
By Jocelyn Hoppa
December 14, 2018 5 mins read
The field of graph technology has developed rapidly in recent years. From the beginnings of the Neo4j graph database – released almost nine years ago in version 1.0 – up to the latest version (and also the developments of other… Read more →
Explore: ai • big data solution • GQL • graph database • graph query language • graph technology • Intelligent Systems • ML • neo4j • nlp
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
Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics
By Jocelyn Hoppa
November 5, 2018 4 mins read
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 →
Explore: ai • customer 360 • eBay • fraud detection • graph algorithms • Graph Analytics • identity and access management • Network Monitoring • real-time recommendations • Social Networks
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
Graph Algorithms in Neo4j: The Rise of Graph Analytics
By Jocelyn Hoppa
October 29, 2018 4 mins read
According to Gartner’s 2018 Magic Quadrant for Data Management Solutions, the biggest reason for using the Neo4j graph database “is to drive innovation.” This blog series is designed to help organizations better leverage graph analytics to effectively innovate and develop… Read more →
Explore: ai • Connected Data • eBay • google • graph algorithms • Graph Analytics • graph database • Graph Theory • linkedin • machine learning
Chip Design on Graphs: 5-Minute Interview with Chuck Calio, Offering Manager, IBM PowerAI
By Jocelyn Hoppa
October 19, 2018 3 mins read
We use Neo4j to design our next-generation Power chips, said Chuck Calio, Offering Manager IBM PowerAI at IBM. The future of graph technology is in AI, but it’s not the only use case. From designing hardware (naturally a graph) to… Read more →
Explore: 5-minute interview • ai • dynamic pricing • graph algorithms • graph database • graph technology • machine learning • Master Data Management • nosql • Recommendation Engine
