Section one provides the background, what constitutes KDD and how it can address common cencerns of the industry. The second section introduces KDD structure and explains what can change using KDD.
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There are three types of knowledge for a working professional, industry, enterprise and project knowledge.
Generic knowledge = Industry knowledge
Implementable knowledge = Project Knowledge

Knowledge Driven Development (KDD) is all about structuring knowledge (DKF) for faster delivery (AKM)
It helps acheiving the fine balance between knowledge and execution activities

In both industry and academia, KDD introduces many firsts across knowledge and execution
KDD - Transforming the way indstry knowledge is structured, taught and applied.

Product-Process Mesh is a 2-dimensional matrix structure - A Fundamental Construct of Industry Knowledge.
Product is offering of an Industry. Process is lifecycle activities of a product. Node is the intersection point of product-process mesh and nugget is the unit of information attached to a node.

Examples from Insurance and Banking is provided to get an appreciation of these terms.
Understanding these terms are key to understanding industry knowledge.

Parent node dissects into child product-process mesh splitting product and process to the next level resulting into multiple child nodes.
The regeneration feature has allowed the flexibility to capture industry knowledge both at high level and at detailed level.

Here is Industry Knowledge Structure (IKS) with three layers out of which two layers Conceptual and Operational consisting of various layers of Product-Process mesh.
Contextual Knowledge covers high level topics that can be considered as nodes and details of that topic that is nugget. However, there is no PRoduct-Process mesh for Contextual Knowledge.
At operational level,nuggets transform to atomic level that can not be split any further.

Enterprise knowledge consists of interconnected busineness and IT knowledge. Business knowledge is structured as per industry knowledge structure
IT knowledge is also having 4 layers of hierarchy starting from IT application and going upto business transaction. IT nodes and nuggets populat the IT knowledge structure.

Interconnected Business and IT nuggets at the last level represent the real detailed knowledge of the enterprise.
For all practical purposes this part of the enterprise knowledge structure constitutes major portion of the project knowledge. This fully traceable project knowledge - most of the methodologies still struggle to achieve.

Interconnected Business and IT nuggets at the last level represent the real detailed knowledge of the enterprise.
For all practical purposes this part of the enterprise knowledge structure constitutes major portion of the project knowledge.

KDD achieves a fine balance between knowledge an execution activities.
KDD can be used as a new methodology as well as a knowledge structuring proposition for existing methodologies.

The KDD structure can provide a sustainable alternative to the current information overload era on which GEN AI depends on. For now, KDD structure can be used as an enabler tool for prompt engineering.
GEN AI assists in populating the KDD structure – its nodes and nuggets for different industry.

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