AIoT Solution Architecture Design
AIoT solution architecture design must ensure delivery of the product or solution in close alignment with business execution. In the software world, this would usually be managed with an agile approach to ensure continuous value creation and improvement. However, in the AIoT world, systems are more complex since they include hardware, software, and AI development. In addition, an AIoT system usually includes components that have to be "first time right" because they cannot be changed after the start of production (especially hardware-based components).
Designing a system and a delivery organization in a way that maximizes those areas where continuous improvement can be applied, while also supporting those areas where this is not possible is one of the key challenges of the technical execution. Effective architecture planning views the problem scape from five perspectives:
Business Viewpoint: Define the business model, KPIs, and planning details.
UX Viewpoint: Understand how users interact with and experience the product or solution.
Data/Functional Viewpoint: Map the data and functional components of the AIoT solution.
Product/Solution Viewpoint: Plan development using agile practices.
Implementation Viewpoint: Plan details of the solution deployment and continuous improvement.
Engagements typically range from one to three months.
English, German, Chinese
Who is this for?
Seniority level: C-3 (e.g.. product managers), C-4 (technology professionals)
Functions: Operational (e.g., production, maintenance, logistics), Innovation (e.g., R&D, accelerator, CDO)
- Develop a holistic plan for product or solution development, deployment, and continuous improvement.
- Map workstreams, timelines, and resource requirements to support budgeting and planning.
- Identify potential technical, organizational, and business risks that could delay or diminish the business case.