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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 for the 2020s. But there…
AI / Machine Learning
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…
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…
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…
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.…
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…
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
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…