Transforming Organizations into Intelligent, Self-Driving Enterprises

Authors

P S L Narasimharao Davuluri

Synopsis

Organizations are grappling with several large-scale, profound, and interrelated transformations as a consequence of the dynamic resupply of capabilities made possible by interconnectedness in general and computing in particular. Work that people need to do is being automated: the nature, scale, timing, and location of routine work assignments are parameterized and orchestrated by resource management systems, allowing many enterprises to operate with small, flexible workforces. However, these dramatic changes bring new layers of complexity and uncertainty. Global events, such as trade wars and pandemics, create liquid supply-and-demand situational intelligence. Competitive AI- and robotic-first propositions change the rules of engagement in virtually every market. In this context, becoming more agile in scaling work and decision volumes is increasingly important. The willingness of enterprises to delegate key strategic and/or tactical decisions to AI-enabled systems rather than rely solely on human judgment is therefore hardly surprising and represents an exciting new frontier.

Downloads

Published

10 February 2026

How to Cite

Davuluri, P. S. L. N. . (2026). Transforming Organizations into Intelligent, Self-Driving Enterprises. In The Autonomous Data Enterprise: Engineering Real-Time Intelligence with Generative and Agentic AI (pp. 146-162). Deep Science Publishing. https://doi.org/10.70593/978-93-7185-592-1_10