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Getting there: Structured data, semantics, robotics, and the future of AI
Leveraging structure in data is key to making progress in AI, says AI prodigy Gary Marcus. A forward-looking view on…
AI / Machine Learning
The state of MLOps in 2021
MLOps is the art and science of bringing machine learning to production, and it means…
AI ethics in the real world: FTC commissioner shows a path toward economic justice
FTC Commissioner Rebecca Kelly Slaughter lays out machine learning and AI’s potential for harm and…
Building MLGUI, user interfaces for machine learning applications
Machine learning is eating the world, and spilling over to established disciplines in software, too.…
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…
Machine learning at the edge: TinyML is getting big
Being able to deploy machine learning applications at the edge is the key to unlocking…
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…
Data / Analytics / Data Science
Open source database ScyllaDB 4.0 promises Apache Cassandra, Amazon DynamoDB drop-in replacement
ScyllaDB has made a name for itself as a fast drop-in replacement for Apache Cassandra.…
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,…
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…
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…
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…
A gravitational wave moment for graph. The Year of the Graph Newsletter: March 2019
A gravitational wave moment for the graph community in the W3C Workshop on Web Standardization…
Graph data standardization: It’s just a graph, making gravitational waves in the real world
AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C…
2019 will be another ‘Year of the Graph’: OpenCorporates is evidence No. 1
Graph databases are crossing the chasm to mainstream use cases, adding features such as machine…
Knowledge graphs, AI, and interoperability. The Year of the Graph Newsletter: February 2019
Knowledge graphs are spreading everywhere: from Airbnb and eBay to Alexa, and from using JSON-LD…
In Between Years. The Year of the Graph Newsletter: January 2019
In between years, or zwischen den Jahren, is a German expression for the period between…
Data, crystal balls, looking glasses, and boiling frogs: Reviewing 2018, predicting 2019
Data gets flexible. Machine learning reigns supreme and transforms everything, including software and hardware. Regulation,…
Innovation
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…
Nvidia Rapids cuGraph: Making graph analysis ubiquitous
A new open-source library by Nvidia could be the secret ingredient to advancing analytics and…
Graph database reinvented: Dgraph secures $11.5M to pursue its unique and opinionated path
Imagine a graph database that’s not aimed at the growing graph database market, selling to…
Forget silicon – SQL on DNA is the next frontier for databases
A couple of years back, even researchers would wave off using DNA to store data…
Hazelcast open source in-memory data grid secures $21.5 million funding, expands platform to real-time streaming data
The streaming data pie is growing, and Hazelcast wants a piece of it. It’s got…
The Graph: An open-source query protocol for blockchains, using GraphQL
Querying blockchains is hard, but it does not have to be. This is the vision…
Other Topics
Real-time applications are going places
Data streaming is the paradigm behind applications that can process data and act upon insights…
Machine Learning: The cloud is the new battlefield
There’s a reason why every major cloud provider is backing its own machine learning framework.…
A better blockchain: Bitcoin for nothing and transactions for free?
Imagine a blockchain-like protocol that promises to remove what is seen as the two biggest…
A rock and a hard place: Between ScyllaDB and Cassandra
How many NoSQL databases does the world really need, and how easily would you switch…
Alibaba: Building a retail ecosystem on data science, machine learning, and cloud
What does it take to compete in a global arena in which retail and cloud…