More than words: Shedding light on the data terminology mess
Data management, data governance, data observability, data fabric, data mesh, DataOps, MLOps, AIOps. It's a data terminology mess out there. Let's try and untangle it, because there's more to words than lingo.
Read More →The biggest investment in database history, the biggest social network ever, and other graph stories from Neo4j
A $325 million Series F funding round, bringing Neo4j's valuation to over $2 billion. A social network of 3 billion people, distributed across 1000 servers. The latter is a demo; the former is not. But both are real signs that the graph market and Neo4j are getting huge.
Read More →Machine learning at the edge: TinyML is getting big
Being able to deploy machine learning applications at the edge is the key to unlocking a multi-billion dollar market. TinyML is the art and science of producing machine learning models frugal enough to work at the edge, and it's seeing rapid growth.
Read More →Graphs as a foundational technology stack: Analytics, AI, and hardware
How would you feel if you saw demand for your favorite topic — which also happens to be your line of business — grow 1,000% in just two years’ time? Vindicated, overjoyed, and a bit overstretched in trying to keep up with demand, probably.
Read More →Superconductive scores $21M Series A funding to sustain growth of its Great Expectations open source framework for data quality
Ensuring data quality is essential for analytics, data science and machine learning. Superconductive's Great Expectations open source framework wants to do for data quality what test-driven development did for software quality
Read More →It’s all about the data: Explorium’s bet pays off in $75M Series C funding
Data science and machine learning are being commoditized, so it's the datasets that make the difference in the end. That's the thesis startup Explorium is capitalizing on.
Read More →OtterTune sets out to auto tune all the databases
Tuning databases is key to application performance and stability, but it's a hard job. Auto-tuning helps, but it was reserved for the Oracles and Microsofts of the world till now. OtterTune wants to democratize this capability
Read More →AI chip startup NeuReality introduces its NR1-P object-oriented hardware architecture
NeuReality targets deep learning inference workloads on the edge, aiming to reduce CAPEX and OPEX for infrastructure owners
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 →Open source AI stack is ready for its moment
Open source stacks enabled software to eat the world. Now several innovative companies are working to build a similar open source software stack for AI development.
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