Publisher:
Forbes Books

Publication Date:
09/15/2026

Copyright Date:
N/A

ISBN:
9798887508566

Binding:
Hardcover

U.S. SRP:
30.02

Get the best author info and savings on services when you subscribe!

IndieReader is the ultimate resource for indie authors! We have years of great content and how-tos, services geared for self-published authors that help you promote your work, and much more. Subscribe today, and you’ll always be ahead of the curve.

  • This field is for validation purposes and should be left unchanged.

AGENTIC INTELLIGENCE: Strategy at the Speed of Data

By Manish Sood, Venkat Venkatraman

IR_Star-black
IR Rating:
4.0
Well-researched, thoughtfully organized, and supported by a wealth of real-world examples, Manish Sood's AGENTIC INTELLIGENCE: Strategy at the Speed of Data provides business and technology leaders with a practical framework for navigating the rapidly evolving relationship between AI, data, and organizational strategy.
IR Approved
A forward-looking business guide that argues that organizations must rethink how they manage data, artificial intelligence, and human collaboration if they hope to remain competitive in the emerging era of agentic intelligence.

In AGENTIC INTELLIGENCE: Strategy at the Speed of Data, Manish Sood presents a comprehensive guide for business leaders preparing for the next evolution of artificial intelligence. Rather than treating AI as a standalone technology, Sood argues that lasting competitive advantage will come from building organizations where people and intelligent systems work together through shared data, trust, and continuous learning.

What immediately stands out is the amount of research supporting the book's central argument. Sood draws from a wide range of companies, public institutions, and emerging technologies to show how organizations are already laying the groundwork for agentic intelligence. Examples from Netflix, Amazon, Airbus, Schneider Electric, and others help move the discussion beyond theory, illustrating how such concepts as unified data, interoperability, and continuous learning are already influencing business strategy.

Built around ten leadership principles, each chapter naturally builds on the previous one and makes what could have been an intimidating subject surprisingly approachable. While some terminology leans technical, Sood consistently brings the discussion back to practical business decisions instead of getting lost in engineering or computer science. This results in a book written for executives and organizational leaders, instead of solely for AI specialists.

AGENTIC INTELLIGENCE has a balanced perspective. Rather than presenting AI as a cure-all, Sood repeatedly emphasizes that technology is only one part of the equation. Leadership, organizational culture, trustworthy data, and sound decision-making are treated as equally important ingredients for long-term success. That balance keeps the discussion grounded and makes many of the recommendations feel achievable.

At times, the book's greatest strength—its thoroughness—can also slow its pace. Nearly every major point is reinforced through multiple case studies and examples, strengthening the author's argument but occasionally making the book feel more like a reference guide than something intended to be read straight through. Readers looking for a quick introduction to agentic intelligence may find the level of detail overwhelming, while professionals already working in AI, data strategy, or digital transformation will likely appreciate the depth.

Even so, it's difficult not to appreciate the amount of thought and preparation here. Whether readers ultimately agree with every prediction about the future of AI, Sood presents a compelling case that organizations need to rethink not just their technology investments but also the way information, people, and intelligent systems work together.

AGENTIC INTELLIGENCE succeeds as a thoughtful and thoroughly researched leadership resource that's less concerned with predicting the future than preparing organizations for it. Business executives, technology leaders, and anyone responsible for guiding AI strategy will find it an insightful and practical reference.

Well-researched, thoughtfully organized, and supported by a wealth of real-world examples, Manish Sood's AGENTIC INTELLIGENCE: Strategy at the Speed of Data provides business and technology leaders with a practical framework for navigating the rapidly evolving relationship between AI, data, and organizational strategy.

—Jason Munoz for IndieReader

This post may contain affiliate links. This means that IndieReader may make a commission if you use these links to make a purchase. As an Amazon Affiliate, IndieReader may make commission on qualifying purchase.