Create an Architecture for AI
Build your target state architecture from predefined best-practice building blocks.
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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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Onsite Workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn’t enough, we offer low-cost onsite delivery of our Project Workshops. We take you through every phase of your project and ensure that you have a road map in place to complete your project successfully.
Book NowModule 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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