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Books

Long-form authored works on artificial intelligence, accountable system design, and enterprise technology.

Cover of Trustworthy Business Intelligence by Sagar Gupta

Paperback · October 2026 · SHORAM Editorial Services

Trustworthy Business Intelligence

Explainable, Causal and Adaptive AI for the Enterprise

Business intelligence has learned to predict. It has not yet learned to explain — and that gap is now a governance problem as much as a technical one. This volume collects twelve studies that treat explainability as a measurable property rather than a marketing claim: regulatory-grade validation of explanations, constraint-based reasoning for large language models in analytics, anomaly and drift detection, causal discovery for prescriptive decisions, game-theoretic attribution, and the lakehouse and federated-graph infrastructure that carries these methods into production.

Written for data scientists, analytics leaders, and researchers who have to defend a model's output to an auditor, a regulator, or a board. Each chapter is self-contained, with its own abstract, method, results, and references.

Publication details

Title
Trustworthy Business Intelligence
Subtitle
Explainable, Causal and Adaptive AI for the Enterprise
Author
Sagar Gupta
Publisher
SHORAM Editorial Services (via Pothi.com)
ISBN
978-81-18131-23-6
Pages
356 · full-color interior
Format
Paperback, 6" × 9"
Published
October 2026
Cover of Foundations of AI & Authentic Intelligence by Sagar Gupta

Paperback · August 2026 · Walnut Publication

Foundations of AI & Authentic Intelligence

Understanding Artificial Intelligence, Human Wisdom, and the Future of Intelligent Systems

A practical guide that introduces artificial intelligence through search, reasoning, intelligent agents, and ethical decision-making. Written for engineering students, educators, researchers, and practitioners, it pairs the technical foundations of the field with the principles of Authentic Intelligence — trust, transparency, accountability, and human-centred design.

“Artificial Intelligence teaches machines to compute. Authentic Intelligence asks whether that computation deserves our trust.”

Publication details

Title
Foundations of AI & Authentic Intelligence
Subtitle
Understanding Artificial Intelligence, Human Wisdom, and the Future of Intelligent Systems
Lead author
Sagar Gupta, IEEE Senior Member
Publisher
Walnut Publication (India · UK · USA)
Format
Paperback
ISBN
978-93-6926-248-9
First published
August 2026
Certificate
WP26PID0244900 · issued 26 Aug 2026

Co-authors

  • Dr. Jitendra Kumar JaiswalAssociate Professor, CSE (AI & ML), Dayananda Sagar University, Bengaluru
  • Dr. Princy RandhawaAssociate Professor, CSE (AI & ML), Dayananda Sagar University, Bengaluru
  • Dr. Sachchida Nand MishraAssociate Professor, CS – Data Science, Dayananda Sagar Academy of Technology and Management, Bengaluru

Inside the book

  1. I

    Introduction and Searching Decisions

    Foundations and history of AI, informed and uninformed search, heuristics, local search and optimization, constraint satisfaction, backtracking, and optimal decisions in game playing.

  2. II

    AI Reasoning

    Logic, inference, knowledge representation, ontologies, and reasoning about actions and events.

  3. III

    Intelligent Agents

    Agent architectures, perception and communication, negotiation, information extraction, and natural language processing.

  4. IV

    Foundations of Authentic Intelligence

    Trust, transparency, accountability, explainability, and value alignment as engineering requirements rather than afterthoughts.

  5. V

    Authentic Intelligence in Emerging Intelligent Systems

    Generative AI, adaptive learning systems, and the emerging human–AI creative partnership across fintech, healthcare, education, and governance.