Practical Intelligence

Artificial intelligence doesn't succeed in a demo. It succeeds when it works in the real world.

Artificial intelligence is transforming how organizations operate, compete, and make decisions. Yet the journey from promising AI experiments to dependable enterprise solutions remains one of the greatest challenges facing today's technology leaders.

In Practical Intelligence: Building Enterprise AI That Works in the Real World, technology executive G. N. Shah draws on more than three decades of enterprise technology leadership to provide a practical roadmap for implementing artificial intelligence at scale.

Successful enterprise AI requires more than powerful algorithms and advanced models. It demands reliable data, efficient workflows, scalable architecture, strong governance, and clear organizational accountability. This book explores the essential foundations that enable AI initiatives to move beyond experimentation and deliver measurable business value.

Readers will discover how to:

• Assess organizational readiness for enterprise AI adoption.
• Establish dependable data foundations and intelligent automation workflows.
• Design scalable, secure, and resilient AI architectures.
• Integrate generative AI and intelligent agents into enterprise operations.
• Address governance, security, risk management, and human oversight.
• Bridge the gap between proof-of-concept demonstrations and production-ready systems.
• Develop practical AI implementation strategies aligned with measurable business objectives.

Combining strategic insight with technical perspectives and implementation guidance, Practical Intelligence challenges organizations to rethink how they approach AI transformation.

Written for CIOs, CTOs, enterprise architects, engineering leaders, technology consultants, and business decision-makers, this book offers a valuable framework for turning AI ambition into operational reality.

The future of enterprise AI belongs to organizations that know how to build intelligence into systems that actually work.