Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Unlocking Unstructured Data: Transforming Public Services with Large Language Models

Unlocking Unstructured Data: Transforming Public Services with Large Language Models

Mohammadi Rouzbahani, Hossein

Hardcover

Series: Springer Applied Machine Learning

DatabasesGeneral ComputersProbability & Statistics

PREORDER - Expected ship date October 10, 2026

ISBN10: 3032276195
ISBN13: 9783032276193
Publisher: Springer
Published: Oct 10 2026
Pages: 426
Language: English
This book explores how Large Language Models can help public organizations turn previously unusable information into actionable insight. Government agencies collect enormous volumes of handwritten forms, PDFs, free-text responses, case notes, and other unstructured content, yet much of it remains difficult to analyze at scale. This book shows how LLMs, combined with OCR, computer vision, and related document-processing techniques, can extract structure and meaning from these data sources, helping public sector teams improve service delivery, operational efficiency, and evidence-based decision-making. It is written for data scientists, AI practitioners, public administrators, policymakers, researchers, and graduate students who want a practical and accessible guide to this fast-emerging field.

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