Create an Architecture for AI
Build your target state architecture from predefined best-practice building blocks.
RETIRED CONTENT
Please note that the content on this page is retired. This content is not maintained and may contain information or links that are out of date.The value AI can deliver directly correlates with the data it operates on, and as long as data is an afterthought, the results will disappoint:
- AI projects get bogged down due to low data quality and lack of data integration.
- Without a clear roadmap, most of the effort will be spent on repairing and not extending.
- If your data is not ready for BI and analytics, it will certainly not be ready for AI.
A clear architecture helps you get value from your AI.
- Deliver on the AI promise to the organization.
- Fix problems before they cripple your AI projects.
- Mature your data management practice.
- Facilitate machine learning, the building of models, and the production deployment of such models to integrate them within business processes.
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Module 1: Answer “Where To?”
The Purpose
- Define business use cases where AI may add value and assess use case readiness.
Key Benefits Achieved
- Know upfront if all required data resources are available in the required velocity, veracity, and variety to service the use case.
| Activities: | Outputs: | |
|---|---|---|
| 1.1 | Review the business vision. |
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| 1.2 | Identify and classify business use cases. |
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| 1.3 | Assess company readiness for each use case. |
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| 1.4 | Review architectural principles and download and install Archi. |
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Module 2: Define the Required Architecture Building Blocks
The Purpose
- Define architecture building blocks that can be used across use cases and data pipeline.
Key Benefits Achieved
- The architectural building blocks ensure reuse of resources and form the foundation of a stepwise rollout.
| Activities: | Outputs: | |
|---|---|---|
| 2.1 | ArchiMate modelling language overview. |
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| 2.2 | Architecture building block overview |
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| 2.3 | Identify architecture building blocks by use case. |
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| 2.4 | Define the target state architecture. |
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Module 3: Assess the Current State Architecture
The Purpose
- Assess your current state architecture in the areas identified by the target state.
Key Benefits Achieved
- Only evaluating the current state architecture that will influence your AI implementation.
| Activities: | Outputs: | |
|---|---|---|
| 3.1 | Identify the current state capabilities as required by the target state. |
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| 3.2 | Assess your current state architecture. |
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| 3.3 | Define a roadmap and design implementation plateaus. |
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Module 4: Bridge the Gap and Create the Roadmap
The Purpose
- Assess your current state against the target state and create a plan to bridge the gaps.
Key Benefits Achieved
- Develop a roadmap that will deliver immediate results and ensure long-term durability.
| Activities: | Outputs: | |
|---|---|---|
| 4.1 | Assess the gaps between current- and target-state capabilities. |
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| 4.2 | Brainstorm initiatives to address the gaps in capabilities |
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| 4.3 | Define architecture delivery plateaus. |
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| 4.4 | Define a roadmap with milestones. |
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| 4.5 | Sponsor check-in. |
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