Power and Prediction
HIGH_DENSITY_DATA
FILE_REF: ai-power-and-prediction // VERIFIED_ENTRY
ENTRY_DATE2022_01_01

Power and Prediction

Primary_AuthorAjay Agrawal
Reader_Fitintermediate

01_ABSTRACT_SYNOPSIS

Power and Prediction extends the economic framing from Prediction Machines into the harder question of how AI actually restructures organizations and workflows. The authors argue that AI value compounds when firms redesign surrounding systems rather than bolt models onto old processes. That makes the book useful for product leaders deciding whether they are shipping an AI feature or rethinking the operating model around it.

02_INDEX_NODES

  • Why AI creates more value when teams redesign systems instead of layering on modelsP.042
  • How prediction changes workflows, decision rights, and organizational structureP.084
  • What separates incremental AI features from deeper competitive transformationP.126
  • Why PMs need to think about complements, not just core model performanceP.168
PUBLICATION_DATE2022
ISBN_RECORDN/A
PAGES304_UNITS
LANGUAGEENGLISH
LEVELINTERMEDIATE
RECORDS_IDai-power-and-prediction
FILE_SIZE15.2_MB_RAW
open_in_new[ SEARCH_ON_AMAZON ]

03_RELATED_NODES