From DIKW to Distributed Data Warebase: Letting Data Emerge as Intelligence

This article explores the DIKW hierarchy, explains how data evolves into information, knowledge, and wisdom, examines traditional data models and products, critiques existing multi‑system architectures, and proposes a new distributed Data Warebase that unifies structured, semi‑structured, and vectorized knowledge to enable intelligent data-driven applications.

DIKWData ArchitectureData Systems

0 likes · 24 min read

From DIKW to Distributed Data Warebase: Letting Data Emerge as Intelligence

58UXD

Aug 15, 2022 · Fundamentals

How Designers Can Master Knowledge Management: From Data to Wisdom

In an era of information overload, this guide explains the DIKW model and a five‑step knowledge‑management framework—acquisition, collection, processing, integration, and internalization—to help designers turn raw data into actionable wisdom and sustainable growth.

DIKWDesigninformation overload

0 likes · 9 min read

How Designers Can Master Knowledge Management: From Data to Wisdom

DataFunSummit

Nov 16, 2021 · Artificial Intelligence

Industrial Intelligence: Current Status, Talent Requirements, Challenges, and AI Application Process

This article examines the state of industrial AI, discussing data and model challenges, the multidisciplinary talent needed, the DIKW framework, typical AI workflows, edge‑cloud architecture, real‑time processing tools, time‑series storage, service design patterns, and practical recommendations for deploying AI in manufacturing.

DIKWEdge ComputingIndustrial AI

0 likes · 24 min read

Industrial Intelligence: Current Status, Talent Requirements, Challenges, and AI Application Process