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Belle Lin
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Belle Lin

Reporter

AS SEEN ON
The Wall Street Journal

Preston's Summary

Belle Lin is a reporter at The Wall Street Journal. She covers a range of topics within the tech sector, focusing on artificial intelligence, machine learning, and software innovations, with particular attention to AI platforms and cloud computing. Belle's work has been featured in notable publications including Online Personals Watch, Business Insider, Yahoo Finance, and Financial News.

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Geo Focus

United States (National)

Coverage Attributes:

Beta
Informative: 61 %
Interviews Q&as: 17 %
Data Driven: 15 %
Promotional: 2 %
Events: 2 %

Themes Covered:

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Most Recent Topics:

  • AI Platforms
  • OpenAI
  • Cloud Computing
  • Generative AI
  • Deep Learning
  • Open Source Software
  • MLOps
  • Software as a Service (SaaS)

Pitching Insights

Belle Lin's coverage predominantly focuses on the tech and business sectors, with a strong emphasis on artificial intelligence (AI) and technology. This indicates that she is likely interested in receiving pitches related to AI advancements, emerging technologies, and their impact on businesses.

Given her reliance on press releases and data citations, Belle may be particularly responsive to pitches that include access to exclusive industry data or insights from notable experts within the field of AI and technology. As she primarily covers national news based in the United States, relevant local angles or US-specific developments could enhance the appeal of your pitch.

If you have expertise in these areas or can provide unique insights into how technological trends are shaping business landscapes, this would align well with Belle's coverage focus.

This information evolves through artificial intelligence and human feedback. Improve this profile .

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Articles

MSN

IBM claims new era of 'quantum advantage'

IBM claims new era of 'quantum advantage'

By: Belle Lin

International Business Machines said Thursday its research shows “quantum advantage” —a point at which quantum computers perform computations beyond conventional ones—and that these results can be rigorously validated.

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