Martine Paris is a Features Correspondent at Forbes. Based in San Francisco, she specializes in technology, innovation, and artificial intelligence, with a keen focus on deep learning and MLOps. Her insightful reporting has earned her features in prominent outlets including TIME, Yahoo News, Fortune, and Bloomberg.
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Martine Paris's coverage mainly revolves around the tech industry, with a focus on artificial intelligence (AI), startups, and AI investments. She seems to be interested in reporting on emerging trends, events, and significant developments within the tech sector.
Given her extensive coverage of AI-related topics, Martine would likely be responsive to pitches that offer insights into new AI technologies, innovative applications of AI in different industries, or expert analysis of recent advancements in the field. Additionally, she may also be interested in stories related to startup ecosystems and investment trends within the technology sector.
Considering her interest in data-driven content (17% cites data attribute) and press releases (15%), providing factual information supported by relevant data or offering access to exclusive company announcements could enhance pitching efforts when reaching out to Martine Paris.
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Former Fox TV Chief Kevin Reilly explains why programming and ads still use sex to drive views, as brands compete for attention in AI driven recommendations.
Robots are all the rage in the San Francisco AI party scene with much hype over humanoids. I met up with Agility Robotics to see how real the promise is.
In what could become the largest wealth creation event in Wall Street history, OpenAI, Anthropic and SpaceX have filed to go public with valuations collectively in the trillions.
Jenn Tejada, Executive Chair of PagerDuty and a veteran of tech cycles, highlights the transformative impact of the AI boom. She notes AI is shifting from experimentation to production, driving massive infrastructure investments and record hyperscaler spending, creating unprecedented opportunities. Tejada foresees the rise of small, agile "one and two pizza teams" but also warns of increased system complexity and new failure modes like AI model drift, which is harder to detect than traditional software issues. She emphasizes the critical need for AIOps platforms to monitor AI agents and traditional infrastructure, enabling early detection and human intervention. Despite potential failures, Tejada believes AI offers immense advances across sectors, stressing the importance of learning from minor setbacks to foster innovation and resilience.
Summary The AI boom is fueling a massive $7 trillion global data center investment by 2030, with hyperscalers committing over $1.3 trillion by 2027.
AI agents debated sacrifice, permadeath and collective goals while coordinating an attack—an extraordinary glimpse into autonomous agents organizing in real time.
AI agents debated sacrifice, permadeath and collective goals while coordinating an attack—an extraordinary glimpse into AI agents coordinating in real time.
As AI data centers demand more power and cooling, the companies supplying that infrastructure are already seeing the boom show up in earnings.
The 2026-2027 Tech Season is here with a packed calendar of events and announcements that kicks off with Apple on September 9. Here are more than 40 AI events to attend.
The 2026-2027 Tech Season is here with a packed calendar of events and announcements that kick off with Apple on September 9. Here are more than 40 AI events to attend.
