Featured
Why autonomous vehicles will rely on edge computing and not the cloud
When driving a vehicle, milliseconds matter. Autonomous vehicles are no different, even though it may be your AI that drives…
AI / Machine Learning
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…
Scientific fact-checking using AI language models: COVID-19 research and beyond
Fact or fiction? That’s not always an easy question to answer. Incomplete knowledge, context and…
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…
Machine learning vs payment fraud: Transparency and humans in the loop to minimize customer insults
What are customer insults, and what does machine learning have to do with it? False…
5 technology trends for the roaring 20s, part 2: AI, Knowledge Graphs, infinity and beyond
You don’t have to be a fortune teller to identify AI as the key trend…
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…
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.…
How i learned to stop worrying and love telling stories
I’ve got tech, data, and media, and i’m not afraid to use them. Here’s my…
RDF on Hadoop and Schema on Read vs. Schema on Write
One of the challenges for any Big Data solution is dealing with scale, and RDF…
SPARQL City and Benchmarks
We have written in the past about SPARQL, Hadoop and benchmarks. In this post, we…
Innovation
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…
Welcome to the data-driven machine: Digital transformation in the construction industry
IoT is an enabler for unabridged data collection, which in turn enables new applications and…
Machine Learning: The cloud is the new battlefield
There’s a reason why every major cloud provider is backing its own machine learning framework.…
Other Topics
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…
Agile business intelligence: reshaping the landscape
With all the intense activity going on lately, i realized i did not actually make…