Featured Articles
Featured
A guide for prescriptive analytics: The art and science of choosing and applying the right techniques
Prescriptive analytics is nothing short of automating your business. But there’s lots of hard work,…
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…
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,…
Google Cloud gives open-source data vendors a break. Will that save open source?
Google will give open-source data vendors that offer their software on Google Cloud a share…
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…
Nvidia GPUs for data science, analytics, and distributed machine learning using Python with Dask
Nvidia wants to extend the success of the GPU beyond graphics and deep learning to…
Salesforce Research: Knowledge graphs and machine learning to power Einstein
Explainable AI in real life could mean Einstein not just answering your questions, but also…
Graph data standardization: It’s just a graph, making gravitational waves in the real world
AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C…
Open source AI chips making Green Waves: Bringing energy efficiency to IoT architecture
What if machine learning applications on the edge were possible, pushing the limits of size…
Confluent shows open source, paradigm shifts, cloud, and commercial success can all co-exist
Confluent just became a unicorn. We discuss why, what happens from now on, and how…