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Keri Allan
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Keri Allan

Freelancer

AS SEEN ON
ITPro

Preston's Summary

Keri Allan is a freelancer with 20 years of experience writing about technology. She specializes in areas including the cloud, IoT, AI, machine learning, and digital transformation, while also covering themes such as education, education technology, HR and workforce, careers, and employment. Keri's work has been featured in publications like Railway-News, IT Pro, MEED, and Business Airport International Magazine.

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Coverage Attributes:

Beta
Informative: 41 %
Data Driven: 35 %
Interviews Q&as: 16 %
Cites Data: 6 %

Themes Covered:

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Most Recent Topics:

  • Energy Storage
  • Energy Sustainability
  • Nuclear Energy
  • Deep Learning
  • MLOps

Pitching Insights

Keri Allan's coverage primarily focuses on transportation and logistics, particularly rail transportation and infrastructure projects. She also covers topics related to technology and digital transformation in the context of these sectors. Consequently, she is likely to be receptive to pitches that offer insights into innovative technological solutions for public transportation or railway operations.

Given her focus on government announcements, private sector updates, and press releases within the transportation industry, Keri may be interested in hearing from experts who can provide analysis or commentary on new developments or trends within this sector. Additionally, she might appreciate pitches highlighting major infrastructure projects globally or those offering an insider perspective on upcoming initiatives in the field of rail transportation.

As no specific geographic focus is mentioned for Keri Allan's coverage area, it would be beneficial to tailor pitches with a global perspective while keeping them relevant to the themes and topics covered in her articles.

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

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Articles

ITPro

What is AI alignment?

What is AI alignment?

By: Keri Allan

Businesses and developers alike must work to ensure AI models follow cultural, sectoral, and individual values

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