AI integration

As explained in The Art of AI Product Development

AI integration is the incorporation of artificial intelligence capabilities into an existing or newly developed digital product.

AI integration incorporates artificial intelligence into an existing or newly developed digital product. The right design, development approach, and resource allocation depend on the starting scenario. section 2.1.4

Common starting scenarios include:

• Add AI to an existing product. This brownfield path can deliver a quick win by building on an established foundation and user base. section 2.1.4
• Join a newly founded startup where AI may shape the product and its delivery approach from the beginning. section 2.1.4
• Use AI as an internal enabler for digital products, applying it across different business contexts. section 2.1.4

Brownfield integration

An established financial analytics platform adds AI capabilities. The team must account for scattered data, incompatible formats, cleanup, governance, and possible infrastructure updates before value appears. section 2.1.4

Figure 2.6 Three scenarios for AI integration

Compare the three scenarios for AI integration and their differing design, development, and resource-allocation needs. section 2.1.4

How The Art of AI Product Development covers it

How deep it goes

Distinguishes three starting scenarios and details brownfield data, governance, and infrastructure challenges.

Examples

Uses financial analytics, corporate reporting, sustainability reporting, and data analytics platforms as integration cases.

What you can do after

Evaluate AI opportunities and guide initiatives while accounting for integration risks and organizational context.

How it connects

Connects AI integration with product development, data integration, data governance, infrastructure, and competitive advantage.

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Also explained in

• 

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  AI for Everyday ITAI adoption is the organizational process of accepting, implementing, and integrating artificial-intelligence capabilities into work and decision-making.

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Related concepts

• ai projectimplemented by · An AI project is a planned effort to develop, apply, deploy, or evaluate a system or capability that incorporates artificial intelligence.

This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.