BLIZARRA AI EDITIONS

Generative AI in Practice

A practical executive and engineering guide to evaluating ROI, vendor lock-in, and unit economics.

PDF e-Book138 pages

Publication Specifications

FORMATDRM-Free PDF
LENGTH138 Pages
TIERfoundational Edition
PUBLISHERBlizarra Ltd
Foundational138 pages • Instant Download

Generative AI in Practice

A practical executive and engineering guide to evaluating ROI, vendor lock-in, and unit economics.

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About this Book

Cut through the vendor hype. This guide equips leaders and engineers to realistically audit AI initiatives, estimate token consumption costs, comply with global data protection laws (GDPR, EU AI Act), and choose between proprietary foundation models vs self-hosted open weights.

Target Audience: Tech leads, engineering managers, and founders evaluating AI adoption roadmap.

What You Will Learn & Build

Calculate realistic token cost models and forecast scaling bottlenecks
Evaluate model vendor lock-in and migration strategies
Implement enterprise privacy fences and IP protections
Design reliable KPIs and human-in-the-loop review queues

Table of Contents

1. Assessing Real AI ROI vs Technology TheaterSection 1
2. Token Economics & Cost Estimation WorksheetsSection 2
3. Data Privacy, Copyright, and Regulatory ComplianceSection 3
4. Proprietary APIs vs Self-Hosted Open WeightsSection 4
5. Organizational Readiness & Team Upskilling PlaybooksSection 5