Featured Articles
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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,…
Modernizing Hadoop: Reaching the plateau of productivity
What’s new in Hadoop, and how is vendor dynamics and strategy evolving? Hadoop is not…
Planet analytics 1.0: From the UN lab to the globe
The United Nations (UN) is developing initiatives that leverage data and analytics to measure and…
Conway’s Law and the future of healthcare data management: Genome, Blockchain, and GDPR
Maladies in healthcare data management are obvious, but what about solutions? From selling Genome data…
Healthcare’s $3 trillion question: Should the likes of Google and Facebook control this data?
How is data managed? Do users get to have consent over how their data is…
Water data is the new oil: Using data to preserve water
Data and water do mix, apparently. Using data and analytics can lead to great benefits…
Back to the future: Does graph database success hang on query language?
If the history of relational databases is any indication, what is going on in graph…