The Design of Learning Organizations: Embracing the Neural Network Paradigm of Collective Learning Across the Organization

Picos, Alex

ISBN 13: 9798872298724

Edité par Independently published, 2023

A propos de cet article

Zustand: Hervorragend | Seiten: 286 | Sprache: Englisch | Produktart: Bücher.

N° de réf. du vendeur 42886714/1

Détails bibliographiques

• Titre: The Design of Learning Organizations: Embracing the Neural Network Paradigm of Collective Learning Across the Organization
• Éditeur: Independently published
• Date de parution: 2023
• Langue: anglais
• ISBN à 13 chiffres: 9798872298724
• Reliure: Couverture rigide
• État de l'article: Hervorragend

A propos de ce titre

Synopsis

The Design of Learning Organizations explores collective learning, leveraging the Neural Network Paradigm. In this work, Alex, then a junior researcher in Artificial Neural Networks, envisioned a future of collective learning during his MBA that started to materialized 30 years later. Following his thesis, Alex co-led the creation of the McKinsey Digital Practice and held key digital transformation roles as CXO in large global Corporations and CDAO in Fintech.

Rediscovered after thirty years, this manuscript served as a time-capsule, preserving Organizational Learning Principles that have stood the test of time, heralding an era of Generative Learning and groundbreaking thoughts on Collective Learning, Humans and AI learning together, wired as an array of neural networks, with 'learning cells' enabled to improve on their learning, supporting the creation of knowledge-centric organizations, an era we are still preparing for.

This work discusses how we all will need to change our work patterns, metrics, team dynamics and organizational structures, in order to adapt to an era of AI change of epic proportions, set to transform humanity more profoundly than the Renaissance, Personal Computing, the Internet, and Mobile technology combined. The book explores:

• The concept of Organizational Learning, as truly distinct from Individual Learning, the prior focus of researchers in organizational studies.
• Introducing the Organizational Learning Rate as a crucial success metric. Highlighting the rise of Generative Learning, its potential to contribute to and overtake traditional AI and Rule-Based Systems.
• Matching the 'Learning Supply' and 'Challenge Demand' curves, to arrive to the optimal learning point and avoid adaptation gaps.
• Emphasizing the need to transform individuals and organizations to embrace AI and collective learning, aligning higher intelligence with increasing problem complexity, and rethinking incentive structures and investment priorities.

Leveraging his passion for history, economics, biology, and computer sciences, Alex was exposed first hand to exposed early global examples of organizations exemplifying superior learning and irrupting into the global high technology scene.

Now a seasoned practitioner, Alex shapes some of the largest analytical environments in the industry, as he did in PayPal, major financial institutions and technology companies, and currently is pioneering designs, frameworks and training for the fast and safe deployment of Generative AI. A dedicated contributor to closing the Digital Divide, Alex is committed to helping companies build responsible and safe Collective Human and Artificial Intelligence Learning (ChAI™).

Join us as we 'go forward to the past' and 'venture back into the future' in this daring transformational journey of our times: The Advent of Generative AI.