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Cover of Always-On AI Analytics by Jonathan Davis: a bold typographic two-tone cover with the subtitle From monthly reports to continuous, AI-powered insight
By Jonathan Davis Published by ScaledLearning Available now

Always-On AI Analytics

From monthly reports to continuous, AI-powered insight

By the time the monthly report arrives, the moment has passed. How to move from periodic reporting to always-on analytics, with AI agents that watch the signals, explain what changed and prompt the right people to act, on data you can trust.

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What you'll learn

  • Shift from periodic reports to continuous signals
  • Set up AI agents that monitor, explain and alert
  • Keep always-on insight trustworthy and governed
  • Turn insight into timely action

Contents

  1. Chapter 1 Why the monthly report is too late
  2. Chapter 2 Signals, not dashboards
  3. Chapter 3 AI agents that watch and explain
  4. Chapter 4 Trustworthy data for continuous insight
  5. Chapter 5 From insight to action
  6. Chapter 6 Governing always-on analytics

By Jonathan Davis · Published by ScaledLearning

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