Graphs, analytics, and Generative AI. The Year of the Graph Newsletter Vol. 25, Winter 2023 – 2024
Graphs, analytics and Generative AI. An account of the different ways graphs and AI mingle, plus industry and research news. Is a generative AI preamble necessary for a newsletter focused on Knowledge Graphs, Graph Databases, Graph Analytics and Graph AI? Normally, it should not be. However, the influence of generative AI on the items […]
Read More →Return of the Graph: Geospatial Knowledge Graphs, Personal Knowledge Graphs, and Evolution. The Year of the Graph Newsletter Vol. 24, Spring 2023
New types of graphs, and a new era for the Year of the Graph Newsletter The Year of the Graph Newsletter, keeping track of all things Graph year over year, is back after a long hiatus. Read on to learn more about how the evolution of the newsletter follows the evolution of the domain and […]
Read More →Graph-based data science, machine learning and AI. The Year of the Graph Newsletter Vol. 23, Spring 2021
What does graph have to do with machine learning, and data science? A lot, actually, and it goes both ways. Over the last few years, we have seen what was once a niche research topic – graph-based machine learning – snowball. The Year of the Graph was among the first to take stock, point towards […]
Read More →Graphs and Knowledge Connexions. The Year of the Graph Newsletter Vol. 22, Autumn 2020
As 2020 is coming to an end, let’s see it off in style. Our journey in the world of Graph Analytics, Graph Databases, Knowledge Graphs and Graph AI culminates in Knowledge Connexions. The representation of the relationships among data, information, knowledge and –ultimately– wisdom, known as the data pyramid, has long been part of the […]
Read More →Towards a Knowledge Graph economy. The Year of the Graph Newsletter Vol. 21, Summer 2020
Knowledge graphs have become an iconic technology trend for a reason. Knowledge graphs exemplify the emphasis on knowledge, and connections. In its current state of the economy knowledge-based and remotely delivered activities have an advantage over service-based and requiring real-world interaction ones.
Read More →Graph Therapy. The Year of the Graph Newsletter Vol. 20, June / May 2020
Parts of the world are still in lockdown, while others are returning to some semblance of normalcy. Either way, while the last few months have given some things pause, they have boosted others. It seems like developments in the world of Graph are among those that have been boosted. An abundance of educational material on […]
Read More →Knowledge Graphs power scientific research and business use cases. The Year of the Graph Newsletter Vol. 19, April / March 2020
Is there life after COVID-19? Of course there is, even though it may be quite different, and it may be hard to get there. But there’s one thing in common in the “before” and “after” pictures: science and technology as the cornerstones of modern society, for better or worse. We have argued before that Knowledge […]
Read More →Graphs in the 2020s: Databases, Platforms, and the evolution of Knowledge. The Year of the Graph Newsletter Vol. 18, February / January 2020
Graphs, and knowledge graphs, are key concepts and technologies for the 2020s. What will they look like, and what will they enable going forward? We have been keeping track of the evolution of graphs since the early 2000s, and publishing the Year of the Graph newsletter since 2018. Graphs have numerous applications that span analytics, […]
Read More →The O word: do you really need an ontology? The Year of the Graph Newsletter Vol. 17, November / October 2019
How do you manage your enterprise data in order to keep track of it and be able to build and operate useful applications? This is key question all data managements systems are trying to address, and knowledge graphs, graph databases and graph analytics are no different. What is different about knowledge graphs is that they […]
Read More →Graph Algorithms, Neural Networks, and Graph Databases. The Year of the Graph Newsletter Vol. 16, September 2019
One of the world’s top AI venues shows that using graphs to enhance machine learning, and vice versa, is what many sophisticated organizations are doing today. New developments in graph algorithms and analytics, and the latest graph database releases, many of which incorporate graph algorithms and machine learning features. Bonus to celebrate the 15th edition […]
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