Articles by Focus
Featured
Open-source software economics and community health analytics: Enter CHAOSS
Trying to capture the value open-source software generates can be a bit chaotic. The CHAOSS project may lend a helping…
Business
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…
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…
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…
Open-source software economics and community health analytics: Enter CHAOSS
Trying to capture the value open-source software generates can be a bit chaotic. The CHAOSS…
Open source AI stack is ready for its moment
Open source stacks enabled software to eat the world. Now several innovative companies are working…
Chainlink 2.0 brings off-chain compute to blockchain oracles, promotes adoption of hybrid smart contracts
A new whitepaper just released by leading blockchain oracle service Chainlink lays the foundation for…
Technical
OctoML announces the latest release of its platform, exemplifies growth in MLOps
OctoML is announcing the latest release of its platform to automate the deployment of production-ready…
Edge Impulse wants to bring machine learning at the edge to everyone, announces $34M Series B funding
55.000 projects, 30.000 developers, $54M funding, and customers, including the likes of NASA, in a…
LinkedIn and Intel tech leaders on the state of AI
AI is on a roll. Adoption is increasing across the board, and organizations are already…
Speedb is a drop-in replacement for RocksDB that wants to take the embedded key-value store world by storm
RocksDB is the secret sauce underlying many data management systems. Speedb is a drop-in replacement…
Nvidia doubles down on AI language models and inference as a substrate for the Metaverse, in data centers, the cloud and at the edge
At Nvidia’s GTC event today, CEO Jensen Huang made announcements the company claims have the…
Socio-Technical
GDPR in real life: Fear, uncertainty, and doubt
Part one: Why are most organizations still not ready for GDPR? And what are the…
Controversy, thy name is Europe: Open credit scores, data-driven counter-forensics, and the regulation debate
Europe’s biggest digital culture festival raises questions beyond the use of data. Europe’s SXSW: The…
Planet analytics 1.0: From the UN lab to the globe
The United Nations (UN) is developing initiatives that leverage data and analytics to measure and…
Conway’s Law and the future of healthcare data management: Genome, Blockchain, and GDPR
Maladies in healthcare data management are obvious, but what about solutions? From selling Genome data…
Healthcare’s $3 trillion question: Should the likes of Google and Facebook control this data?
How is data managed? Do users get to have consent over how their data is…
Water data is the new oil: Using data to preserve water
Data and water do mix, apparently. Using data and analytics can lead to great benefits…
Use Cases
Shipping to data: The case of Amazon Prime Day
Did you ever wonder how retail hallmarks like Amazon Prime Day and global shipping are…
NBA analytics: Going data pro
For the NBA, like every other sports league, awards are important. They can generate attention,…
Advertising data going forward: Transparency and scale
The problem with advertising data and what to do about it. Plus, the future of…
Planet analytics: big data, sustainability, and environmental impact
What is the relation between big data applications and sustainability? What is the net effect…
Language agnostic document processing: Finding relations using statistics, machine learning, and graphs
Would you like to be able to find related work regardless of domain or language,…
Data Works, Hadoop 3.0 is round the corner, and ‘Horton Hatches the Egg’
What’s coming in Hadoop 3.0? How is Hortonworks’ strategy evolving? And what are some examples…