Pocket Guide for A.I. — Process Management Optimisation
This pocket guide is made for everyone who is involved in Artificial Intelligence Projects and wants to give the A.I. management engine a boost. It helps to bridge the gap between SCRUM methodology and project management methodology and adds the most needed elements for artificial intelligence projects.
Mapping it to PRINCE2 / Waterfall project management methodologies
Process Management optimisation consists of 5 phases. The first three phases enrich the pre-planning / Project initialisation phase with A.I. elements. While the improve phase extends the project execution phase. Additionally, the control phase enriches the closing phase.
- Overview
1. Process Optimisation Overview
5-Phases of Process Optimisation
2. Define Phase
2.1 Define Phase — Part 1
2.2 Define Phase — Part 2
3. Measure Phase
3.1 Measure Phase — Part 1
3.2 Measure Phase — Part 2
4. Analyse Phase
4.1 Analysis Phase
4.2 Analysis Phase
5. Improve Phase
5.1 Improve Phase / Defining A.I.
5.2 Improve Phase / A.I. Scoping Workshop
6. Control Phase
Control Phase
If you are interested in leading your existing A.I. projects to a successful end, want to turn around A.I. projects which seem to be “stuck” or want to start your A.I. journey, just contact me at ansgar_linkedin@goldblum-consulting.com
