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Paul Krill

Editor At Large

AS SEEN ON
InfoWorld

Preston's Summary

Paul Krill is an editor at large at InfoWorld. With over 35 years of experience in computer technology journalism, he specializes in software development tools and technologies, covering a range of programming languages and platforms such as Java, .NET, and AI. Paul has been featured in Channel Asia, Reseller News NZ, NewsBreak, CSO Online, CIO Online, and Network World, reflecting his trusted voice in the tech industry.

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Geo Focus

Coverage Attributes:

Beta
Informative: 64 %
Data Driven: 20 %
Promotional: 6 %
Events: 2 %
Opinion: 2 %

Themes Covered:

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Most Recent Topics:

  • AI Platforms
  • Generative AI
  • Software Development
  • Open Source Software
  • Microsoft
  • Educational Apps
  • Software as a Service (SaaS)

Pitching Insights

Paul Krill's coverage primarily focuses on software and SaaS, with a significant emphasis on programming languages, software development, artificial intelligence, quantum computing, and web development. His articles often include press releases and private sector announcements.

To effectively engage Paul Krill for potential coverage or expert commentary opportunities, consider providing him with exclusive insight into upcoming developments in the mentioned topics. Additionally, if you represent a company making an announcement related to programming languages or software development tools, sharing concise yet informative press releases may be well-received.

Given his broad focus across various aspects of technology and software industry announcements without geographical limitations specified specifically; pitches should offer globally relevant insights or news about emerging technologies within these domains.

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

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Articles

InfoWorld

How to destroy a company quickly

How to destroy a company quickly

By: David Linthicum

Replace all your engineers with AI and then watch as inefficient code triggers exorbitant cloud bills, and no one really understands why the code that looked good on paper is failing in the real world.

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