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 Graph […]
Read More →Open source PostgreSQL on steroids: Swarm64 database acceleration software for performance improvement and analytics

Take the 4th most popular database in the world. Make it run 20 times faster, lower costs by 70%, use it for analytics, time series, and data warehousing workloads. This is what Swarm64 database acceleration software promises
Read More →Optimizing hardware infrastructure with data and AI: Granulate scores $12 million Series A funding

How does boosting hardware performance between 20% and 80% sound? This is what startup Granulate promises.
Read More →Graph analytics and knowledge graphs facilitate scientific research for COVID-19

State of the art in analytics and AI can help address some of the most pressing issues in scientific research. Here is how top scientists are using them to facilitate coronavirus research.
Read More →Make Apache Cassandra great again: DataStax going cloud, Kubernetes, open source, and multi-model

Actions and words, code and advocacy. DataStax is changing strategy, re-engaging with the Apache Cassandra open source community, and releasing some interesting technical advancements while at it, too.
Read More →Business intelligence, meet graph. Neo4j introduces BI connector for data discovery tools

Mixing graph and relational data is now even more accessible. What does this mean for analytics, and for graph databases specifically?
Read More →Data science vs the COVID-19 pandemic: Flattening the curve — but how?

Whether they are epidemiologists or not, a few people have attempted to use data and predictive models to model the COVID-19 pandemic. Let's look at the models, the data, and the assumptions and implications that come with them
Read More →Graph analytics for the people: No code data migration, visual querying, and free COVID-19 analytics by TigerGraph

Graph databases and analytics are getting ever more accessible and relevant
Read More →Machine learning vs payment fraud: Transparency and humans in the loop to minimize customer insults

What are customer insults, and what does machine learning have to do with it?
Read More →Data science vs social media disinformation: the case of climate change and the Australian bushfires

While a newly released World Weather Attribution study ties the Australian bushfires to anthropogenic climate change, disinformation on social media abounds
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