Connecting the dots with George Anadiotis: Analyst, Consultant, Engineer, Founder, Host, Researcher,
GraphQL is a specification that came at just the right time to address an age-old issue in software
Machine learning is eating the world, and spilling over to established disciplines in software, too.
Open source software used to be poorly understood by commercial forces, and it's often approached in
It's a data terminology mess out there. Let's try and untangle it, because there's more to words tha
A $325 million Series F funding round, bringing Neo4j's valuation to over $2 billion. A social netwo
Being able to deploy machine learning applications at the edge is the key to unlocking a multi-billi
Graphs are everywhere. That has been the motto of graph afficionados for years, and now it seems tha
Ensuring data quality is essential for analytics, data science and machine learning. Superconductive
Tuning databases is key to application performance and stability, but it's a hard job. Auto-tuning h
NeuReality targets deep learning inference workloads on the edge, aiming to reduce CAPEX and OPEX fo
Trying to capture the value open source software generates can be a bit chaotic. The CHAOSS project
Open-source stacks enabled software to eat the world. Some of the most innovative companies in the w
A new whitepaper just released by leading blockchain oracle service Chainlink lays the foundation fo
Google uses machine learning and graphs to deliver search results. Most search engines do not. Weavi
GraphQL was never conceived as a query language for databases. Yet, it's increasingly being used for
What do you get when you juxtapose two of the hottest domains today - AI and healthcare? A peek into
In 2014, IOTA set out to offer an alternative to the key issues with blockchain: Scalability and tra
Machine learning operations, or MLOps, is the art and science of taking machine learning models from
Another day, another funding round in the graph market Katana Graph, a high-performance scale-out g
The largest funding round to date in the graph market is good news not just for TigerGraph, but for
