NPO
Buying intent
15 tracked signals | Top 9 topics are below.
Attention by team
LinkedIn activity, by teamWhere NPO's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.
Topics being researched
30-day windowEvery tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.
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Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who's active at NPO
verified title on fileTitles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.
Primary products / business lines
LinkedIn company profileDe publieke omroep is van en voor iedereen. We verbinden en verrijken de Nederlandse samenleving met programma’s die informeren, inspireren en amuseren.” Met nieuws, achtergronden en duiding zorgen we dat iedereen weet wat er speelt in Nederland en de rest van de wereld. Betrouwbaar en onafhankelijk van politiek en commercie. We laten ons publiek kennismaken en genieten van kunst en cultuur in al
Top accounts researching NPO
names withheld on the public pageThese are companies whose own people brought up NPO unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.
129,094 companies · 649,540 people are researching Artificial Intelligence
NPO's own team shows 6 signals on this topic. No one outside NPO has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.
- Social Media17,638 cos · 65,198 people
- Digital Media1,260 cos · 4,114 people
Buyer profile
company size · seniorityCompany size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.
Buying committee functions
Employee job titles (LinkedIn)Product — 1 person
What's been said
public posts by NPO's teamNo public post naming NPO has surfaced in the past year, so this is what NPO's own team is posting about publicly — their topics, in their words.
AI systems don't navigate the internet the way humans do. And that changes the indexing problem in fundamental ways. Traditional search asks: which pages should a user visit? Grounding asks: what information can an AI system responsibly use to construct a response? These questions sound similar. They are not. Really interesting blog post by Microsoft Bing, on why indexing the web needs to change when answers, not rankings, are the goal. Used NotebookLM to visualize some of the key concepts. https://lnkd.in/e57UdGgn
May 2026ICYMI! Tomorrow I will host an AI in Media webinar together with Kevin Anderson, FRSA for a conversation with Brooke Hartley Moy (Infactory) and Mary Liz McCurdy (The Atlantic) on how publishers are structuring content/archives in a way AI systems can interpret, query or reuse them. We’ll look at this from both sides: how content can be transformed into structured, machine-readable data, and what that actually looks like in practice inside a newsroom like The Atlantic. 📅 23 April ⏰ 16:00 CEST / 10:00 EDT Registration link: https://lnkd.in/en_Skk-x
Apr 2026We’ve barely started to explore the new forms of storytelling unlocked by real-time generative AI. A new experiment, Flipbook (by Zain Shah, Eddie Jiao and Drew Carr), hints at what’s possible. An infinite visual browser. No HTML. No links. Every “page” is an image or rather 'generated pixels'. Click anywhere, and the system generates the next image in real time, diving deeper into the idea. Even the text is rendered as pixels. They even added livestreaming, turning the generated visuals into a continuous flow of animated explainers and data visualizations, generated on demand. Try it here: https://flipbook.page/ (still experimental, lots of hallucinations and slow but at some point this will render real-time and I imagine with an evaluation and RAG approach it could become more accurate)
Apr 2026As mentioned, no Wayfinder this week - but if you read one thing this week it probably should be the excellent summary of this year's Journalism Festival in Perugia by the Reuters Institute. https://lnkd.in/eXfv-Hq2 And I promised to highlight this great resource that Craig Silverman & Tom Vaillant launched: a curated database of more than 7,500 tools to gather and investigate open-source information. A prime example of using an LLM to unlock value for journalists! https://lnkd.in/eHEuMG-3
Apr 2026Missing Perugia this year because I’m in Japan with family. Amazing trade-off, but still: serious FOMO! Nice to see so many familiar names on the programme. So for everyone heading to the International Journalism Festival, these are the sessions I’d have starred: • How to test, evaluate and roll out AI tools in newsrooms: https://lnkd.in/eNTb5Edk Speakers: Rob Lang • Bargaining with Big Tech: https://lnkd.in/emivyfbf Speakers: Pablo Delgado , Ana Jakimovska , Lucy Kueng (Küng) , Caspar Llewellyn Smith • What future for journalism in the era of AI?: https://lnkd.in/e-MUeBG4 Speakers: David Caswell , Natali Helberger , Giulia Lucchese, Felix M. Simon • If AI is the new intern, what’s the new on-ramp into journalism?: https://lnkd.in/eqine25v Speakers: Jeremy Caplan , Astrid Maier , Djordje Padejski , Nikita Roy • How to save public service journalism: https://lnkd.in/eDAWy6e7 Speakers: Branko Brkic , Liz Corbin , Liz Gibbons , Jane Martinson , Alan Rusbridger • An autopsy for AI: lessons for journalism from the platform era: https://lnkd.in/emjGdaF8 Speakers: Madhav Chinnappa , Colin Crowell , Courtney Radsch, PhD , Nick Wrenn • Steal this: AI projects newsrooms actually shipped: https://lnkd.in/eu7ZP8Ge Speakers: Emily Brown , Kati Erwert , Kevin Hoffmans , Tristan Loper • When AI becomes the product: https://lnkd.in/ezHqPcMf Speakers: Charlie Beckett , Sannuta Raghu , Sophia Smith Galer , Sebastian Winther • When chatbots deliver the news: https://lnkd.in/esWNjC9W Speakers: Ginny Badanes , Katy Knight , Caspar Llewellyn Smith , Vivian Schiller • After the reader: what comes next for news in an AI-first world?: https://lnkd.in/eFmb2tRq Speakers: David Caswell , Florent Daudens , Shuwei Fang, Lucky Gunasekara What connects all of them: AI as a structural force reshaping production, distribution, discovery and the economics of journalism. Enjoy Perugia. I’ll be following from afar, with a bit of envy.
Apr 2026Someone finally speaks up. Shares a concern. And before they can even finish… someone else jumps in. Just like that, the moment is gone. That’s how people learn their voice doesn’t matter. And that’s how psychological safety disappears. As a Scrum Master, this is something to be very aware of. Not just facilitating the conversation, but protecting the space for it.
Apr 2026