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Cognitive Oversight Framework

Par : Mudassar Iqbal
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Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub est :
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  • FormatePub
  • ISBN8233803826
  • EAN9798233803826
  • Date de parution27/02/2026
  • Protection num.pas de protection
  • Infos supplémentairesepub
  • ÉditeurLinda Balsamo

Résumé

In an age of increasingly complex digital systems, traditional monitoring and observability tools have failed to provide meaningful oversight. Cognitive Oversight Framework introduces a revolutionary model that goes beyond data collection, focusing on the true understanding of system behavior. This book challenges the reactive nature of current systems, advocating for a shift toward proactive, cognitive oversight-where data is not just observed, but interpreted, understood, and acted upon.
With a career spanning over two decades in digital ecosystems, Mudassar Iqbal highlights the systemic failures that plague modern organizations. The Cognitive Oversight Framework introduces a semantic, contextual reasoning-driven architecture designed to allow systems to understand themselves. From distributed architectures to cloud-native services, this framework empowers organizations to anticipate failures, optimize performance, and ensure operational continuity.
The author draws on firsthand industry experience to argue for an integrated approach, one that embraces a cognitive layer to make sense of the mountains of data generated by modern systems. This book is not just a critique of existing paradigms but also the articulation of a groundbreaking intellectual journey, offering an original framework to evolve oversight from a passive sensory layer into an active, self-aware system.
The Cognitive Oversight Framework presents both a philosophical critique and an architectural solution, with formalized patents backing its groundbreaking approach. This work is a must-read for system architects, engineers, and decision-makers looking to stay ahead of the curve in the era of complexity and scale.