The AI chip unicorn that’s about to revolutionize everything has computational Graph at its Core
AI is the most disruptive technology of our lifetimes, and AI chips are the most disruptive infrastructure for AI. By that measure, the impact of what Graphcore is about to massively unleash in the world is beyond description. Here is how pushing the boundaries of Moore's Law with IPUs works, and how it compares to today's state of the art on the hardware and software level. Should incumbent Nvidia worry, and users rejoice?
Read More →The rise of Kubernetes epitomizes the transition from big data to flexible data
Can a platform conceived to support running ephemeral applications become the operating system of choice for running data workloads in the multi-cloud and hybrid cloud era? Looks like it, but we're not just there yet.
Read More →Want to boost customer engagement? Invest in data integration, metadata, data governance, says Informatica
What does a Data Hub Reference Architecture have to do with Customer Engagement? A lot, according to Informatica, who wants to complement Adobe, Microsoft, and SAP, in their Open Data Initiative. The big question, however, is whether this has legs.
Read More →More graph databases. The Year of the Graph Newsletter Vol. 8, December 2018
Redis announces RedisGraph and a benchmark, TigerGraph goes AWS, AWS hands-on experiences, new features from Stardog and AnzoGraph, Graphs and Machine Learning, GraphQL, Atlas, DBpedia, Connected Data London and the Year of the Graph. I often get asked about graph databases – what they are, what are they good for, how to choose one, as […]
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