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Pierre DeBois primarily covers industry-specific topics related to technology, artificial intelligence, data analytics, and digital marketing. His articles often focus on providing insights into the application of new technologies in business settings.
Given Pierre's concentration on industry-specific content and press releases, he is likely interested in receiving pitches that offer unique perspectives or expert commentary on emerging trends in technology, AI applications for businesses, advancements in data analytics tools, and innovative digital marketing strategies.
As Pierre does not have a specific geographic focus mentioned but covers global tech-related developments extensively without specifying any particular region or country relevance for his coverage.
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By: Pierre DeBois
Most AI analytics deployments have no feedback loop. Tableau's Q&A Calibration is designed to be one.
Gartner data shows 70% of CMOs name AI leadership a priority. Only 30% have the infrastructure to back it up. Here's what closes the gap.
Most brands are optimizing content for AI search. The ones winning are fixing the infrastructure underneath it first.
Skills should boost your analytical workflow: Here’s an example with Python
Marketing Analytics Summit discussions revealed how AI is elevating analytics while exposing challenges around data quality, communication and influence.
Organic traffic is down, but one marketer says revenue is up. This AEO dissection unpacks why fewer site visits might mean better buyers.
By: Pierre Debois
Claude skills has brought deterministic programming into AI usage. here’s how you can best leverage it for your agentic AI strategy.
Starbucks Korea's 'Tank Day' collided with a national tragedy. See the workflow fix that catches cultural risk before campaigns go live.
Here's what marketers should audit before it costs them trust. The Gist This is AI.
A jury found Meta and YouTube negligent for addictive design. Here's how brands advertising there inherit legal and reputational exposure.
