Graphs in Banking: Integration with AI & Machine Learning [Video]

Check out this webinar on graph technology within the financial services industry, featuring use cases on fraud detection, MDM and IAM.

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Toward AI Standards: Context Makes AI More Robust

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.

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Deciphering Product DNA: Next-Level PDM with AI & Knowledge Graphs

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 →

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Liberating Knowledge: Machine Learning Techniques with Neo4j

Editor’s Note: This presentation was given by Rob Schley, Dr. Alessandro Negro and Christophe Willemsen at GraphConnect New York City in September 2018 Presentation Summary Following a brief philosophical background by Rob Schley, we dive into Hume’s core by exploring… Read more →

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Graphs in Automotive & Manufacturing: Unlock New Value from Your Data [Video]

Check out this webinar on using graph database technology in the manufacturing and automotive industries, including the use of graph algorithms in AI.

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Toward AI Standards: Why Context Is Critical for Artificial Intelligence

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.

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Improving Machine Learning Predictions Using Graph Algorithms [Video]

Watch this webinar on how graph algorithms are reinventing the field of intelligent applications by improving the predictability of AI and ML models.

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From Collections to Connections: Where Hadoop Adoption Goes from Here

Learn about the evolving world of big data and how the industry is increasingly interested in connecting data rather than just collecting it.

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The Present and Future of Artificial Intelligence and Machine Learning

Discover how we can methodically explore capabilities related to artificial intelligence and machine learning to successfully predict the future.

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NODES 2019: Launching the Neo4j Online Developer Expo & Summit!

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.

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This Week in Neo4j – How Graph Technology is Changing AI, Processing Neo4j Transaction Events with KSQL, Analysing Neo4j Logs with ELK Stack

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 →

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Save the Date for a Three-Day, Super-Powered GraphConnect 2020 Experience

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.

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Simplifying Identity Management: 5-Minute Interview with Alex Babeanu

“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 →

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Tackling Hard Problems Head-On: 5-Minute Interview with Hilary Mason, General Manager for Machine Learning at Cloudera

“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 →

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The Evolution and Future of Graph Technology: Intelligent Systems

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 →

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Graph Algorithms in Neo4j: Graph Technology & AI Applications

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 →

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Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics

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 →

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We Just Closed the Largest Single Investment in the Graph Space. Now What?

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 →

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Graph Algorithms in Neo4j: The Rise of Graph Analytics

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 →

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Chip Design on Graphs: 5-Minute Interview with Chuck Calio, Offering Manager, IBM PowerAI

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 →

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Enterprise AI for IT Ops: 5-Minute Interview with Clayton Ching, Global Head of Customer Success at Digitate

“I believe everyone in the IT ops space is going to have to implement graph data a lot sooner than they think,” said Clayton Ching, Global Head of Customer Success at Digitate. IT operations is complex, with thousands of systems… Read more →

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Bring Order to Chaos: A Graph-Based Journey from Textual Data to Wisdom

Data is everywhere. News, blog posts, emails, videos and chats are just a few examples of the multiple streams of data we encounter on a daily basis. The majority of these streams contain textual data – written language – containing… Read more →

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Hilary Mason [ML at Cloudera] & Stephen O’Grady [Principal at RedMonk] Will Keynote at GraphConnect 2018

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 →

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11 Must-See Speakers at GraphConnect 2018 in New York City

There are a lot of great reasons to attend GraphConnect 2018, but one of the best reasons is that every year we feature a fresh, new lineup of the world’s best graph experts sharing their experiences on how graph database… Read more →

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The eBay App for Google Assistant: Graph-Powered Conversational Commerce

Editor’s Note: This presentation was given by Ajinkya Kale and Anuj Vatsa at GraphConnect New York in October 2017. Presentation Summary The eBay App for Google Assistant is a chatbot powered by knowledge graphs that supports conversational commerce. In creating… Read more →

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