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AI governance

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EVENT TIMELINE

2

RESEARCH · 1 SOURCE · MIT Technology Review AI

MIT Technology Review Insights survey: analytics agents’ insights improve business 48% of the time

A custom-report from MIT Technology Review Insights finds that, on average, 48% of insights produced by analytics agents lead to actions that improve the business (up from 37% a year earlier). The report identifies major barriers to higher-quality, prescriptive insights—chiefly lack of business context (55%) and fragmented/inaccessible data (45%)—and notes that many organizations face insight overload (52% generate too many insights) while prioritizing AI/data governance (60%) and adding a semantic layer (45%) to boost agent performance.

6.0

COMPANIES · 1 SOURCE · Cohere

Cohere publishes 'Enterprise AI Maturity Model' outlining five-phase path from pilots to AI-native firms

Cohere outlines a five-phase Enterprise AI Maturity Model—Experimentation, Tool adoption, Internal platforms, Strategic integrations, and AI-native transformation—and argues most organizations stall between Tool adoption and Internal platforms; it highlights barriers to moving pilots into production including siloed data access, trust and compliance concerns with LLMs, and fear of model obsolescence.

5.0