AI-Ready Data : What Leaders Must Get Right Before AI Works
Overview
Your AI investments are failing - and it is not the technology's fault.Boardrooms worldwide are chasing the AI revolution. Billions invested. Brilliant teams hired. Cutting-edge platforms deployed. Yet intelligent systems still deliver unreliable recommendations, opaque decisions, and outcomes you cannot explain to regulators, customers, or shareholders. The problem is not your algorithms. It is your data. Most AI initiatives collapse under the weight of fragmented information, inconsistent business definitions, and data that has lost its meaning somewhere between the boardroom and the database. Without structured, traceable, business-aligned data foundations, AI systems become amplifiers of confusion rather than engines of insight. AI-Ready Data starts where technical books end: with business meaning, not code. Written for executives, enterprise architects, business architects, data analysts, and enterprise leaders who need AI to actually work, this master class book provides a disciplined framework for building data foundations worthy of the decisions they will inform. Business leaders will discover:
- Why data quality determines AI success more than any algorithm
- How to translate business language into structures machines can trust
- The four types of training data and their hidden risks to your organization
- How to avoid "everything AI" dangers: hallucinations, bias, intellectual property (IP) theft, and compliance violations
- A proven methodology for aligning business stakeholders with data teams
- The Data Distribution Center(TM) concept for purifying organizational knowledge
- Real metrics for measuring AI readiness before writing a single line of code
Samuel B. Holcman brings decades of enterprise architecture and business architecture practice to organizations seeking clarity in the AI age. As architect of the EACOE and BACOE frameworks, he has guided Fortune 500 companies through digital transformation by putting business meaning at the center of technical execution.
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Details
- ISBN-13: 9798171260231
- ISBN-10: 9798171260231
- Publisher: Independently Published
- Publish Date: September 2026
- Dimensions: 9 x 6 x 0.45 inches
- Shipping Weight: 0.59 pounds
- Page Count: 194
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