
Legacy data is the bottleneck. We instantly ingest and structure your unstructured documents to test RAG feasibility during the workshop phase.

We don’t just deploy; we govern. We use Olive to establish the operational guardrails that monitor model performance, drift, and cost from Day1

We automate the testing of your PoC’s reliability, accuracy, and compliance, cutting validation cycles by 60%.

We don’t guess about capability. We audit your team’s readiness to maintain the AI we build, identifying skill gaps instantly.
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In an age where attention is the currency, news publishers are racing to rethink how content is delivered. Generative AI, once seen as a backend tool, is now front and center in shaping news personalization — from summaries to adaptive formats. But as the 2025 Digital News Report reveals, consumers are still wary. And for media companies, the real opportunity may lie not in flashier algorithms, but in relevance that actually lands.
Instead of automating everything, audiences want AI to help them navigate information, not replace it. The 2025 Digital News Report highlights a crucial insight: the most desired AI applications are those that reduce friction.
These aren’t gimmicks — they’re tools to make content readable, shareable, and inclusive. Rather than curating which stories people see, this is about transforming how content is consumed.
The obsession with feed algorithms has dominated news personalization for a decade. But the new data shows audiences want personalization in form, not just selection.
There’s more demand for reformatting content — adjusting reading level, summarizing length, even converting into voice — than for recommending different stories.
This reflects a broader UX trend: news that respects reader attention will outperform news that guesses reader preference. For developers and product teams, that means prioritizing modular, accessible, flexible formats.
Takeaway: Reformatting builds loyalty. Feed curation alone doesn’t.
Only a minority of audiences say they feel good about news written mainly by AI — even with human oversight.
Generational differences are stark. Younger readers familiar with AI tools (e.g., ChatGPT, Gemini) show far more openness. But older readers — still dominant in news audiences — remain skeptical.

But also:
This isn’t just a perception problem. It’s a design challenge. AI in journalism must show its editorial scaffolding clearly, and platforms must prioritize visibility of sources, revisions, and human intervention.

Tech teams need to rethink the UX of delivery as much as the UX of content. This includes making notifications smarter, opt-in preferences clearer, and AI-driven suggestions visibly editable.
Personalization that respects human needs — clarity, relevance, adaptability, and trust — will define the next generation of news. Media platforms and AI builders alike must move from content automation to experience intelligence.
The opportunity? Design systems that help people stay informed without feeling overwhelmed. That’s not a pipe dream — it’s a product roadmap.
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