This research is designed to help organizations who are facing these challenges:
- Deliver on the AI promise within the organization.
- Prioritize the demand for AI projects and govern the projects to prevent overloading resources.
- Have sufficient data management capability.
- Have clear metrics in place to measure progress and for decision making.
AI requires a high level of maturity in all data management capabilities, and the greatest challenge the CIO or CDO faces is to mature these capabilities sufficiently to ensure AI success.
Our Advice
Critical Insight
- Build your target state architecture from predefined best-practice building blocks.
- Not all business use cases require AI to increase business capabilities.
- Not all organizations are ready to embark on the AI journey.
- Knowing the AI pattern that you will use will simplify architecture considerations.
Impact and Result
- This blueprint will assist organizations with the assessment, planning, building, and rollout of their AI initiatives.
- Do not embark on an AI project with an immature data management practice. Embark on initiatives to fix problems before they cripple your AI projects.
- Using architecture building blocks will speed up the architecture decision phase.
- The success rate of AI initiatives is tightly coupled with data management capabilities and a sound architecture.
Create an Architecture for AI Research & Tools
Start here – read the Executive Brief
Read our concise Executive Brief to understand why you need an underlying architecture for AI, review Info-Tech's methodology, and understand the four ways we can support you in completing this project.Besides the small introduction, subscribers and consulting clients within this management domain have access to:
- Create an Architecture for AI – Phases 1-3
1. Assess business use cases for AI readiness
Define business use cases where AI may bring value. Evaluate each use case to determine the company’s AI maturity in people, tools, and operations for delivering the correct data, model development, model deployment, and the management of models in the operational areas.
- Create an Architecture for AI – Phase 1: Assess Business Use Cases for AI Readiness
- AI Architecture Assessment and Project Planning Tool
- AI Architecture Assessment and Project Planning Tool – Sample
2. Design your target state
Develop a target state architecture to allow the organization to effectively deliver in the promise of AI using architecture building blocks.
- Create an Architecture for AI – Phase 2: Design Your Target State
- AI Architecture Templates
3. Define the AI architecture roadmap
Compare current state with the target state to define architecture plateaus and build a delivery roadmap.
- Create an Architecture for AI – Phase 3: Define the AI Architecture Roadmap
Workshop: Create an Architecture for AI
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 delivery of our project workshops. We take you through every phase of your project and ensure that you have a roadmap in place to complete your project successfully.
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
1.1 Review the business vision.
1.2 Identify and classify business use cases.
1.3 Assess company readiness for each use case.
1.4 Review architectural principles and download and install Archi.
Outputs
List of identified AI use cases
Assessment of each use case
Data sources needed for each use case
Archi installed
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
2.1 ArchiMate modelling language overview.
2.2 Architecture building block overview
2.3 Identify architecture building blocks by use case.
2.4 Define the target state architecture.
Outputs
A set of building blocks created in Archi
Defined target state architecture using architecture building blocks
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
3.1 Identify the current state capabilities as required by the target state.
3.2 Assess your current state architecture.
3.3 Define a roadmap and design implementation plateaus.
Outputs
Current state architecture documented in Archi
Assessed current state using assessment tool
A roadmap defined using plateaus as milestones
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
4.1 Assess the gaps between current- and target-state capabilities.
4.2 Brainstorm initiatives to address the gaps in capabilities
4.3 Define architecture delivery plateaus.
4.4 Define a roadmap with milestones.
4.5 Sponsor check-in.
Outputs
Current to target state gap assessment
Architecture roadmap divided into plateaus