Featured Articles
Featured
AI chips for big data and machine learning: Hard choices in the cloud and on-premise
How can GPUs and FPGAs help with data-intensive tasks such as operations, analytics, and machine…
Zen and the art of data structures: From self-tuning to self-designing data systems
Designing data systems is something few people understand, and it’s very hard and costly. But…
The best programming language for data science and machine learning
Hint: There is no easy answer, and no consensus either. Arguing about which programming language…
GraphQL for databases: A layer for universal database access?
GraphQL is a query language mostly used to streamline access to REST APIs. Now, a…
Wolfram Research goes for Software 2.0, releases neural net repository
Wolfram, having been into AI before it was cool, now gets a piece of the…
Business analytics: The essentials of data-driven decision-making
Data shows that data-driven organizations perform better. But what does it take to get there?…
NBA analytics and RDF graphs: Game, data, and metadata evolution, and Occam’s razor
Three-point shooting, Steph Curry, and coming up with stories. If you feel like doing your…
AWS Neptune going GA: The good, the bad, and the ugly for graph database users and vendors
It’s official: AWS has a production-ready graph database. What features are included today, and what…
GDPR in real life: Transparency, innovation, and adoption across borders and organizations
Part two: Auditing data on premise and in the cloud, spurring innovation in machine learning…
Human in the loop: Machine learning and AI for the people
HITL is a mix and match approach that may help make ML both more efficient…
GDPR in real life: Fear, uncertainty, and doubt
Part one: Why are most organizations still not ready for GDPR? And what are the…
The road to automation, the joy of work, and the ‘Jen problem’
How do we get to the point where technology is the infrastructure firms run on,…