Featured
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.…
AI / Machine Learning
Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7
A sui generis, multi-model open source database, designed from the ground up to be distributed.…
Explainable AI: From the peak of inflated expectations to the pitfalls of interpreting machine learning models
We have reached peak hype for explainable AI. But what does this actually mean, and…
Explainable AI: A guide for making black box machine learning models explainable
In the future, AI will explain itself, and interpretability could boost machine intelligence research. Getting…
Data Lakehouse, meet fast queries and visualization: Databricks unveils Delta Engine, acquires Redash
Data warehouses alone don’t cut it. Data lakes alone don’t cut it either. So whether…
Streamlit wants to revolutionize building machine learning and data science applications, scores $21 million Series A funding
Streamlit wants to be for data science what business intelligence tools have been for databases:…
Compute to data: using blockchain to decentralize data science and AI with the Ocean Protocol
The conflict between access to data and data sovereignty is key to understanding how AI…
Data / Analytics / Data Science
Breaking up Facebook? Try data literacy, social engineering, personal knowledge graphs, and developer advocacy
Yes, Facebook is a data-driven monopoly. But the only real way to break it up…
On the Rookout for live data: Instant observability to fix software bugs and open AI black boxes
Getting data to debug your code while running in production, without stopping or redeploying it.…
A standard for storing big data? Apache Spark creators release open-source Delta Lake
From data lakes to data swamps and back again. Data reliability, as in transactional support,…
Safety in data: Implementing data-driven road safety
Using data to improve road safety sounds like a good idea, but the devil is…
The new Cloudera-Hortonworks Hadoop: 100 percent open source, 50 percent boring
How do you bring Hadoop to the AI, hybrid, and multi cloud era, making it…
Semantic data lake architecture in healthcare and beyond
Data lakes can be a great asset, but they need an array of elements to…
Graph databases and RDF: It’s a family affair
RDF is a graph data model you’ve probably either never heard of, or already dismissed.…
The continuing rise of graph databases
Graph technology is well on its way from a fringe domain to going mainstream. We…
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,…
I got 99 data stores and integrating them ain’t fun
Data integration may not sound as deliciously intriguing as AI or machine learning tidbits sprinkled…
What IBM, the Semantic Web Company, and Siemens are doing with semantic technologies
Defining semantics is a matter of semantics, not less so in the Big Data space.…
Innovation
Is 5G the missing link for autonomous vehicles, smart cities, and a brave new world?
We may have hit peak 5G hype before 5G is actually available. But is 5G…
DataTorrent: Hard code around streaming data philosophy in 90 days
We give you streaming data applications in 90 days, no matter what. And we’ll do…
HarperDB: An underdog SQL / NoSQL database
HarperDB flies in the face of conventional wisdom in a number of ways. But does…
The Reskilling Revolution: Taking control of skills with Open Badges
In a rapidly shifting job market, being able to formalize skills is a requirement for…
From graph to the world: pioneering a database virtual machine
What are the options for querying graphs, and how do we go from that to…
Opening banking data and APIs: Land of opportunity or Pandora’s box?
The EU directive PSD2 may not be as famous as GDPR, but its effects may…
Other Topics
Data modeling for APIs. Part 3: SOAP and XML
In the third part of this series of posts we take a look at some…
Twitter doesn’t like me, but it’s nothing personal: stock plunges, engagement, and walled gardens
I’m a very late joiner on Twitter. Even though as an analyst being active on…
Data Modeling for APIs. Part 2: REST and JSON
In the second part of this series of posts we start looking into the implications…
Data Modeling for APIs. Part 1: setting the stage
Lately we’ve been engaged in the design of a data model for a project aiming…
Predictions, Predictions: It’s BI’s time of year in the cloud
As the year comes to an end, making predictions about the year(s) to come is…