Author: George Anadiotis

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The Future of AI Chips: Leaders, Dark Horses and Rising Stars

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The interest and investment in AI is skyrocketing, and generative AI is fueling it. Over one-third of CxOs have reportedly already embraced GenAI in their operations, with nearly half preparing to invest in it. 

What’s powering it all, AI chips used to receive less attention. Up to the moment, OpenAI’s Sam Altman claimed he wants to raise up to $7 trillion for a “wildly ambitious” tech project to boost the world’s chip capacity. Geopolitics and sensationalism aside, however, keeping an eye on AI chips means being aware of today’s blockers and tomorrow’s opportunities.

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Graphs, Analytics, and Generative AI: The Year of the Graph Newsletter

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Is a generative AI preamble necessary for a newsletter focused on Knowledge Graphs, Graph Databases, Graph Analytics, and Graph AI? Normally, it should not be. However, the influence of generative AI on the items included in this issue was overwhelming. There is a simple explanation for that.

It's been a year since Generative AI burst into the mainstream with the release of ChatGPT. Notwithstanding a rather spotty record both in terms of technical performance and accuracy as well as in terms of business reliability, there's no denying that Generative AI has captured the attention of executives worldwide.

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Amazon Neptune Introduces a New Analytics Engine and the One Graph Vision

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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 said that most customers don't actually want a graph database. However, that statement needs contextualization.

Suppose Bebee had meant that in the literal sense, the team himself and Amazon Neptune Principal Product Manager Denise Gosnell lead would not have bothered developing and releasing a brand new analytics engine for their customers. We caught up with Bebee and Gosnell to discuss Amazon Neptune's new features and the broader vision.