Tae Kim is a Senior Writer at Barron’s. He specializes in AI and machine learning, technology, software, and finance, with a keen focus on topics such as deep learning, data architecture, and software development. Tae’s work has been featured in prominent publications including Bloomberg-Quint, The Washington Post, and The Australian Financial Review.
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Tae Kim primarily focuses on investment analysis with a keen interest in consumer electronics and sales & marketing within the technology sector. His articles often cite data, indicating an emphasis on factual and evidence-based reporting.
Given Tae’s focus on investment analysis, he would likely be interested in pitches from financial analysts or industry experts who can provide unique insights into trends, market movements, and potential impacts of specific events or developments within the tech industry.
It's important to note that Tae does not appear to have a specific geographic focus but instead covers global companies and trends within the technology sector. Therefore, when reaching out to him, sources should consider providing internationally relevant insights.
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By: Tae Kim
Those who do not learn from history are doomed to repeat its mistakes.
Policy Change “The next six to nine months are going to be bigger than anyone believes... It'll be dramatically better for AI than the last two years in terms of advancements in capabilities.”
Multi-step agentic pipelines degrade under production load without raising errors. The root cause is almost always context window growth that nobody measured during testing.
By: Tae Kim
Corporate knowledge graphs break in production the moment you treat them as a batch artifact. I ran...
Before I get to AMD's second quarter, let me say a couple of things about SpaceX.
By: Tae Kim
Most entity resolution pipelines are tuned to maximize F1. For corporate data, that is the wrong...
Six titans of finance will raise money from their clients to support Nvidia's customers.
A LangGraph pipeline I was reviewing last year. Token costs were running over projection, slow runs...
By: Tae Kim
Entity resolution at scale starts with a problem most introductions skip: you can't compare every...
This is a guest post by Clark Tang, a partner at Altimeter, who originally published this piece on his X account.
