While we can look back and say that 2021 was a year of disruption, the same rings true for the world of tech, especially in the graph space. I’m constantly amazed by how connected our world is becoming and can only guess at the implications for the future.
If you’re like me and want to stay up to date on the latest innovations, you should check out our top five webinars of 2021. Spanning topics like knowledge graphs, graph data science, cybersecurity, and a whole lot more, this year brought some pretty exciting content that will only get more relevant as time goes on!
Connections: Graphs for Cybersecurity
With 2021’s massive spike in cybersecurity attacks, it’s no surprise that Connections: Graphs for Cybersecurity was a top-attended event.
The pandemic changed the global cybersecurity landscape, requiring advanced data solutions to analyze complex networks in real time. Companies like Palo Alto Networks, Uplevel Security, and The Thales Group discuss how they rely on graphs to outmaneuver attackers, plus Neo4j experts dive into real-life hack examples. As one YouTube commenter put it: “I’m a simple man…I see Jim Webber and I click.”
Graph Databases for Dummies: An Interview with the Authors
According to Gartner Top 10 Data and Analytics Trends for 2021, graph relates everything – and we couldn’t agree more. With graph adoption rising across every industry, it’s important to know how and when to apply the technology effectively.
Released in 2021, Graph Databases for Dummies helps you identify scenarios where it’s useful to apply graphs at your organization. To introduce the book, we hosted an interview with authors Dr. Jim Webber, Chief Scientist and Rik Van Bruggen, Regional VP, Neo4j. They walk through the basics of graphs in this session, making it easy for anyone to start making graph models and queries.
Explore Connections, Visualize Value with Bloom
Visualization has become a key means of interpreting data, whether you’re a developer, data scientist, or project manager. This webinar dives into the application of Neo4j Bloom, showing you how to extract meaning from your graph visually.
If you’re someone who needs to communicate data findings across teams, you won’t want to miss this session – or the updates coming with Bloom 2.0 on January 13!
Knowledge Graphs and Graph Analytics for Robust, Responsive Supply Chains
Who hasn’t been concerned about supply chains throughout 2021? Knowledge graphs are perfectly suited for mapping out interconnected data and maintaining performance at high volumes. Graph data science draws on the predictive power of relationships to forecast and plan complex logistics. Together, they promote flexibility and precision in supply chain management.
This session explores graph technology for supply chain – from product 360 to predictive maintenance and “what-if” analyses.
Supervised Graph Machine Learning Now in Neo4j
This talk was all about using network structure to add predictive features to your ML models. Experts Amy Hodler and Dr. Alicia Frame bring you the best in graph data science, from graph embeddings to node classification and link prediction. They also explain how to take advantage of the latest GDS updates with end-to-end model building pipelines in Neo4j.