Amazon Neptune introduces a new Analytics engine and the One Graph vision

Amazon Neptune introduces a new Analytics engine and the One Graph vision

Amazon Neptune, the managed graph database service by AWS, makes analytics faster and more agile while introducing a vision aiming to simplify graph databases. By George Anadiotis It’s not every day that you hear product leads questioning the utility of their own products. Brad Bebee, the general manager of Amazon Neptune, was all serious when he […]

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Streaming graph analytics: ThatDot’s open-source framework Quine is gaining interest

Streaming graph analytics: ThatDot’s open-source framework Quine is gaining interest

What do you get when you combine two of the most up-and-coming paradigms in data processing — streaming and graphs? Likely a potential game-changer, at least that’s what is being hinted at by the likes of DARPA and now CrowdStrike’s Falcon Fund, which are betting on ThatDot and its open-source framework Quine.

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Graph data science: What you need to know

Graph data science: What you need to know

Whether you’re genuinely interested in getting insights and solving problems using data, or just attracted by what has been called “the most promising career” by LinkedIn and the “best job in America” by Glassdoor, chances are you’re familiar with data science. But what about graph data science?

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From data to knowledge and AI via graphs: Technology to support a knowledge-based economy

From data to knowledge and AI via graphs: Technology to support a knowledge-based economy

In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies and processes that can support this transition, and what they are about.

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Apple, Alibaba, Amazon, and the gang promote state of the art in AI and Knowledge Discovery with Graphs

Apple, Alibaba, Amazon, and the gang promote state of the art in AI and Knowledge Discovery with Graphs

In one of the biggest AI events in the world, over 3,000 experts from research and industry showcased and discussed their latest work. Advances in machine learning are happening across the board, and integrating knowledge-based systems with graph-based deep learning promises breakthroughs.

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