Redefining Value Where People and AI Meet: Measure Smarter. Avoid the Balance Sheet Black Hole. Establish What Intelligence is Really Worth.

Raman, Sundara; Raman, Jayanthi

ISBN 10: 1764273192 / ISBN 13: 9781764273190

Published by Sundara Raman, 2026

About this Item

Print on Demand.

Seller Inventory # 407547125

Bibliographic Details

• Title: Redefining Value Where People and AI Meet: Measure Smarter. Avoid the Balance Sheet Black Hole. Establish What Intelligence is Really Worth.
• Publisher: Sundara Raman
• Publication Date: 2026
• Language: English
• ISBN 10: 1764273192
• ISBN 13: 9781764273190
• Binding: Hardcover
• Condition: New

About this title

Synopsis

AI or human intelligence; which is the smarter investment? This book cuts through the hype to help you measure, attribute and manage the real value with clear case studies and tools.AI or human intelligence; which is the smarter investment? This book cuts through the hype to help you measure, attribute and manage the real value with clear case studies and tools. It shows why traditional metrics in the balance sheet miss what matters in data, analytics and people, and how to build a defensible interdisciplinary framework for balancing themas the organisation's renewable assets. Blending business, cognitive psychology, data science and governance, the authors show how to decide when to automate and when to rely on human judgement, and how to make each decision pay off.

About the Authors

Sundara Raman is an industry veteran with five decades of international experience in IT, information engineering, data science, management consulting, and solution value selling. He provides pragmatic strategies, and tools for measuring and tracking the long-term value of data analytics (AI/ML) investments with results delivering compelling ROI.

Dr Jayanthi Raman is an academic researcher and clinical psychologist, with decades of expertise in decoding how humans think, decide, and behave. She bridges the worlds of human and artificial intelligence, that will empower readers to see the real strengths and challenges of both human and machine intelligence offering clear, actionable insights in an AI-driven world.