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Getting your corporate data ready for prescriptive analytics: data quantity and quality in equal measures
Good news: there’s nothing special about getting your data ready for prescriptive analytics. Bad news: you need to do what’s…
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AI-powered DevOps is how CA wants to reinvent software development and itself
How does non-deterministic software sound? Making data-driven software to help make data-driven software may seem…
Open or closed? On graph database access, query languages, community building, and TigerGraph
Having an entry path, as well as a strong community, is important for any solution,…
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…
GDPR in real life: Fear, uncertainty, and doubt
Part one: Why are most organizations still not ready for GDPR? And what are the…
DataStax Enterprise Graph 6.0: what’s new, and what’s coming?
DataStax Enterprise just released version 6.0, a major upgrade. We take an insider tour with…
Controversy, thy name is Europe: Open credit scores, data-driven counter-forensics, and the regulation debate
Europe’s biggest digital culture festival raises questions beyond the use of data. Europe’s SXSW: The…
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…
