Samuel b holcman (6 Ergebnisse)

Paperback. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware - 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 codeNo programming required. No technical jargon. Just practical frameworks and methodologies proven across healthcare, finance, hospitality, manufacturing, education, retail, and government sectors. This is not an academic treatise - it is a professional manual with exercises, templates, and case studies you can apply immediately. Every method has been refined with organizations confronting the same challenge: making AI accountable, explainable, and genuinely valuable. For business executives demanding ROI from AI investments, this book ensures your strategy rests on solid ground. For enterprise architects and business architects translating vision into reality, it provides the language to unite business and IT. For anyone accountable for AI outcomes, it offers the discipline to provide solutions you can actually trust. The AI revolution rewards those who master their data foundation. This master class book ensures you're ready. About the Author: >. …