The future of AI chips: Leaders, dark horses and rising stars

The future of AI chips: Leaders, dark horses and rising stars

The future of AI chips is about more than NVIDIA: AMD, Intel, chiplets, upstarts, analog AI, optical computing, and AI chips designed by AI. By George Anadiotis 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 […]

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Data management in 2024. Open data formats and a common language for a sixth data platform

Data management in 2024. Open data formats and a common language for a sixth data platform

What data management in 2024 and beyond will look like hangs on one question. Can open data formats lead to a best-of-breed data management platform? It will take Interoperability across clouds and formats, as well as on the semantics and governance layer. By George Anadiotis Sixth Platform. Atlas. Debezium. DCAT. Egeria. Nessie. Mesh. Paimon. Transmogrification. This […]

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What are the important questions to ask when developing or using AI? Long views on AI, Part 2

What are the important questions to ask when developing or using AI? Long views on AI, Part 2

What does fairness in AI mean, and is it relevant in your use case? This question is posed by Beena Ammanath. Ammanath is the Global Head of the Deloitte AI Institute, Founder of Humans For AI and Board Member of AnitaB.org, as well as an author. I’ve had the pleasure of conversing with her a couple […]

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How LinkedIn is moving towards a skills-based economy with the Skills Graph

How LinkedIn is moving towards a skills-based economy with the Skills Graph

What is a skills-based economy and how is LinkedIn moving from vision to implementation? As LinkedIn Director of Engineering Sofus Macskássy shares, there’s AI, taxonomy, and ontology involved in building the Skills Graph that powers it. By George Anadiotis Skills are the new currency. That’s a bold statement, coming from LinkedIn CEO Ryan Roslansky. Roslansky makes […]

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What is the right balance between innovation and regulation in AI? Long views on AI, Part 1

What is the right balance between innovation and regulation in AI? Long views on AI, part 1

What AI model maker would take the risk to make any powerful model if they could be responsible for anything someone might possibly do with it? This question is posed by Dan Jeffries – author, futurist, engineer, and systems architect. I’ve had the pleasure of conversing with him a couple of times. First about the […]

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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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AI Chips in 2024: NVIDIA, MLPerf benchmarks, Huang’s law, and competition

AI Chips in 2024: NVIDIA, MLPerf benchmarks, Huang’s law, and competition

What we learned on AI Chips in 2024 by keeping track of NVIDIA’s latest announcements, talking to industry experts, and scanning news and analyses By George Anadiotis Exploring AI chips has been a pastime, as a well as a popular theme in Orchestrate all the Things articles. In 2023, we felt like we fell somewhat […]

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Aerospike Graph: A new entry in the graph database market, aiming to tackle complex problems at scale

Aerospike Graph: A new entry in the graph database market, aiming to tackle complex problems at scale

“Graph database growth is going strong through the Trough of Disillusionment.” And “Graph Analytics go big and real-time.” These were two of the headlines of the Spring 2023 update of the Year of the Graph newsletter. In combination, they seem like an appropriate summary of the reasoning behind a new entry in the graph database […]

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LinkedIn’s feed evolution: more granular and powerful machine learning, humans still in the loop

LinkedIn’s feed evolution: more granular and powerful machine learning, humans still in the loop

LinkedIn’s feed has come a long way since the early days of assembling the machine learning infrastructure that powers it. Recently, a major update to this infrastructure was released. We caught up with the people behind it to discuss how the principle of being people-centric translates to technical terms and implementation. How do data and […]

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Useful Sensors launches AI in a Box, aiming to establish a different paradigm for edge computing and TinyML

Useful Sensors launches AI in a Box, aiming to establish a different paradigm for edge computing and TinyML

Would you leave a Google Staff Research Engineer role just because you want your TV to automatically pause when you get up to get a cup of tea? Actually, how is that even relevant, you might ask. Let’s see what Pete Warden, former Google Staff Research Engineer and now CEO and Founder of Useful Sensors, […]

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