Concrete Intelligence: A Practical Guide to AI for the Industries that Build, Move, and Power the World
Format:
Kindle
Sin stock
0.84 kg
No
Nuevo
Amazon
USA
- In a world where artificial intelligence is often discussed in abstract terms, the manufacturing, construction, logistics, agriculture, and energy sectors have largely remained on the sidelines. Concrete Intelligence bridges that gap by offering a pragmatic, step‑by‑step playbook for deploying AI in asset‑intensive environments where reliability, safety, and measurable ROI are non‑negotiable.Why this book mattersWhile Silicon Valley loves to speculate on AI's theoretical power, this book focuses on the bottom‑line outcomes that matter to operators: a 50 % reduction in unplanned downtime¹, a 99.5 % accuracy in quality control², a 20 % cut in energy consumption³, and the prevention of catastrophic equipment failures before they happen.What makes the approach differentUnlike generic AI handbooks, Concrete Intelligence speaks the language of heavy industry: aging infrastructure, safety‑critical processes, a dearth of skilled labor, and rugged, real‑world conditions. Every recommendation has been field‑tested in plants where downtime can cost thousands of dollars per minute and safety can't be compromised.Core insightsAI augments, it does not replace, human expertise.The biggest hurdle is not technology but change‑management and organizational readiness.Success begins with small, proof‑of‑value pilots that can be scaled systematically.Data need only be "good enough" to solve the specific business problem.Waiting to adopt AI now costs more than investing in it now.Practical valueReaders gain ready‑to‑use frameworks for selecting use cases, vetting vendors, building business cases, and steering implementation projects. The book includes ROI worksheets, vendor checklists, and step‑by‑step deployment guides that can be deployed immediately.Industry‑specific guidanceSeparate chapters provide detailed playbooks for:Manufacturing – predictive maintenance, quality control.Construction – project risk assessment, safety monitoring.Logistics – dynamic routing, demand forecasting.Agriculture – precision farming, crop monitoring.Energy – asset health monitoring, grid optimization.Implementation focusBeyond explaining what AI can do, the book delivers concrete governance frameworks, change‑management tactics, risk‑mitigation strategies, and scaling methodologies that have been proven in traditional industry environments.Who it is forThis guide serves both strategic leaders and hands‑on managers who want to harness AI's power while navigating the complexities of deploying advanced technology in heavy‑industry settings. It is written for executives who value substance over hype and results over promises.
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