Create an Architecture for AI

Build your target state architecture from predefined best-practice building blocks.

Onsite Workshop

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.

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.
1.2 Identify and classify business use cases.
  • List of identified AI use cases
1.3 Assess company readiness for each use case.
  • Assessment of each use case
  • Data sources needed for each use case
1.4 Review architectural principles and download and install Archi.
  • Archi installed

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.
2.2 Architecture building block overview
2.3 Identify architecture building blocks by use case.
  • A set of building blocks created in Archi
2.4 Define the target state architecture.
  • Defined target state architecture using architecture building blocks

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.
  • Current state architecture documented in Archi
3.2 Assess your current state architecture.
  • Assessed current state using assessment tool
3.3 Define a roadmap and design implementation plateaus.
  • A roadmap defined using plateaus as milestones

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.
  • Current to target state gap assessment
4.2 Brainstorm initiatives to address the gaps in capabilities
4.3 Define architecture delivery plateaus.
  • Architecture roadmap divided into plateaus
4.4 Define a roadmap with milestones.
4.5 Sponsor check-in.

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