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miro

4 insights that prove your AI strategy is a people strategy

Mar 25, 2026 By Matt Bochenski In Miro
When organizations talk about “AI transformation,” they usually start with the technology. But as we explored in our recent webinar with David Mattin (founder of New World, Same Humans) and Miro’s Dom Katz, the hardest part of transformation isn’t the software; it’s the “human hardware.” To put it another way, your AI strategy is a people strategy because it’s employees who will set the tone and the pace of change.
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How High-Performing Teams Turn Leads Into Long-Term Customers

How High-Performing Teams Turn Leads Into Long-Term Customers

Mar 25, 2026 By TeamRelated In TeamRelated
In many organizations, lead generation and customer relationships are treated as separate functions. Marketing focuses on attracting attention, while sales teams are expected to convert that attention into revenue. In practice, however, the most successful companies understand that these processes are deeply interconnected. A lead is not simply a data point, it represents a potential relationship. How that relationship is handled from the first interaction often determines whether it develops into long-term value or disappears after a single touchpoint.
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m-files

Securing Your Internal Knowledge Amidst Shadow AI

Mar 23, 2026 By M-Files In M-Files
Contemporary organizations must protect their internal knowledge from a growing number of threats. Instances of security and data breaches—which can involve both gaining unauthorized access and extracting (stealing) data from the organization—result in costly fines, ligation, regulatory penalties, loss of reputation, and churn. Users must remain vigilant about both deliberate and inadvertent forms of security breaches.
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rocket.chat

Rocket.Chat Labs #1: What happens when you throw 1.2M messages at AI search

Mar 18, 2026 By Pavithra Sudhakar In Rocket.Chat
Welcome to Rocket.Chat Labs: our way of showing what is cooking in the R&D kitchen. No polished demos on curated datasets. No slide decks dressed up as evidence. Just real engineering, real data, and the honest story of what we found. The first in a series where we open up our R&D process: what we built, how we tested it, and what we actually found.
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