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Enterprise AI adoption stalls as companies skip crucial infrastructure work

By PulseAugur Editorial · [5 sources] ·

Companies are increasingly adopting AI for productivity gains, but many are struggling to move beyond initial pilots into full-scale production. Twilio's CMO, Khozema Shipchandler, highlights that achieving significant efficiency, like reducing campaign research from two weeks to one day, requires substantial "unsexy" work in data hygiene, governance, and integration, rather than just relying on advanced models. This underlying infrastructure is crucial for successful enterprise AI adoption, as neglecting it can lead to failures and erode trust, with many organizations still in early phases of personal or team-level AI use. AI

IMPACT Highlights the critical need for data hygiene and integration infrastructure for successful enterprise AI deployment.

RANK_REASON Article discusses enterprise AI adoption challenges and requires significant underlying infrastructure, not just advanced models.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 5 sources. How we write summaries →

Enterprise AI adoption stalls as companies skip crucial infrastructure work

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Article discusses enterprise AI adoption challenges and requires significant underlying infrastructure, not just advanced models.
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5 independent sources
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product, opinion, infra
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