Ian Thomas

Editor

Preston's Summary

Ian Thomas is an Editor at CNBC.com. He specializes in covering technology, software, artificial intelligence, and finance, with a keen focus on AI platforms, business conferences, and the intersection of sports and business. Ian's work has been featured in notable outlets such as Security Boulevard, NBC Los Angeles, and The Comics Journal, among others.

Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston

Geo Focus

Coverage Attributes:

Beta
Informative: 50 %
Opinion: 15 %
Data Driven: 14 %
Interviews Q&as: 13 %
Events: 3 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • AI Platforms
  • Generative AI
  • Natural Language Processing (NLP)
  • Software as a Service (SaaS)
  • Tech Conferences
  • Business Conferences
  • MLOps

Pitching Insights

Ian Thomas's coverage spans a diverse range, including business, tech, and sports. With his focus on citing data and press releases, he may be interested in pitches backed by strong data points or official announcements.

Given the broad topics covered and Ian's lack of specified geographic focus, experts with insights into global trends impacting these industries could find success reaching out to him.

Potential pitching angles include the impact of technology advancements on consumer spending habits or how ESG initiatives are shaping the fintech landscape within sports organizations. Additionally, offering commentary regarding MLB All-Star Game events or CFO perspectives can align well with his coverage interests.

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

Journalists With Similar Coverage:

Based on similarity of content.
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Mark Samuels
Freelance Journalist, Copywriter and Consultant
Most recent topics
Not enough data
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data