Data as the Fourth Pillar by Sujay Dutta (.ePUB)+
File Size: 16.4 MB
Data as the Fourth Pillar: An Executive Guide for Scaling AI by Sujay Dutta, Siddharth Rajagopal
Requirements: .ePUB, .PDF reader, 16.4 MB
Overview: Data as the Fourth Pillar reasons that data should be considered the fourth pillar of every enterprise, alongside people, processes, and technology. Aimed at Boards, CEOs, and CxOs, this book provides a compelling case for why and how they should treat data as a strategic asset. It presents a comprehensive, success-by-design approach for enterprises, guiding them through a maturity framework to accelerate their data-centric journey. This book addresses the “why,” the “what,” and the “how” of achieving this goal in measurable terms. It introduces key performance indicators (KPIs) such as total addressable value (TAV) and expected addressable value (EAV) through data to help measure the impact provided by the data pillar. This book also explores the symbiotic relationship between Artificial Intelligence (AI) and data, illustrating how both enable and benefit from each other. A case study by Rudiger Eck from Audi AG provides practical insights into the concepts and frameworks discussed. AI has various categories depending on the use case and application of AI in the use case. Machine Learning (ML) is a broad category in AI that enables a system to learn from data to make decisions and/or predictions. ML has subcategories such as supervised learning, where the ML model is trained by a human expert, and Deep Learning, a type of neural network with multiple nodes and layers to predict the outcome based on input features or attributes. GenAI is a further subset of Deep Learning that focuses on generating content.
Genre: Non-Fiction > Tech & Devices
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