Featured Articles
Featured
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…
NBA analytics: Going data pro
For the NBA, like every other sports league, awards are important. They can generate attention,…
Kafka: The story so far
Hard problems at scale, the future of application development, and building an open source business.…
Artificial intelligence on Hadoop: Does it make sense?
MapR just announced QSS, a new offering that enables the training of complex deep learning…
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…
Advertising data going forward: Transparency and scale
The problem with advertising data and what to do about it. Plus, the future of…
Caffe2: Deep learning with flexibility and scalability
As the AI landscape continues to evolve, a new version of the popular Caffe open…
DataOps: Changing the world one organization at a time
Uncertain about the benefits of going data-driven? Not sure how to get there? Here’s some…
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,…
LinkedIn: Machine learning is like oxygen, but the human element is not going away anytime soon
How do data and machine-learning powered algorithms work to control newsfeeds and spread stories? How…