Knowledge graph evolution: Platforms that speak your language
Knowledge graphs are among the most important technologies for the 2020s. Here is how they are evolving, with vendors and standard bodies listening, and platforms becoming fluent in many query languages
Read More →5 technology trends for the roaring 20s, part 2: AI, Knowledge Graphs, infinity and beyond
You don't have to be a fortune teller to identify AI as the key trend for the 2020s. But there is nuance regarding AI hardware and software that deserves to be highlighted.
Read More →K is for Knowledge: Application and data integration for better business, using metadata and knowledge graphs
Being disrupted by Big Tech is one of the greatest concerns for any business. Good news: There may be a path to accelerate digital transformation and out-compete Big Tech, by leveraging domain knowledge.
Read More →Want to discover the knowledge graphs in your enterprise data? Siren just secured $10 Million to help do that
Siren promises the benefits of knowledge graphs, without the hassle of reinventing your existing data management and infrastructure
Read More →The O word: do you really need an ontology? The Year of the Graph Newsletter: 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 for the mass market: Neo4j launches Aura on Google Cloud
Neo4j just launched its cloud offering, which it says will make graph mainstream. We discuss the offering with CEO Emil Eifrem, and take a look at where the graph market is right now.
Read More →Redis Labs goes Google Cloud, Graph, and other interesting places
Redis becomes available on Google Cloud Platform today, and we take the opportunity to explore its graph-shaped future, its community, and its licensing issues.
Read More →Graph databases advance: TigerGraph announces $32 Million Series B Funding plus cloud-based platform
Graph databases have been the hottest area of data management for a while now. Today, this landscape shifts once again in the last few months.
Read More →Graph Algorithms, Neural Networks, and Graph Databases. The Year of the Graph Newsletter, 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. Read the full article on the […]
Read More →Apple, Alibaba, Amazon, and the gang promote state of the art in AI and Knowledge Discovery with Graphs
In one of the biggest AI events in the world, over 3,000 experts from research and industry showcased and discussed their latest work. Advances in machine learning are happening across the board, and integrating knowledge-based systems with graph-based deep learning promises breakthroughs.
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