AI and Digital TransformationMachine Learning for Decision Makers
Machine learning proposals arrive with confident claims and a demonstration, and the decision to fund one is usually taken without the means to test either. This course supplies the means. Delegates cover what these systems actually do, the data volume and quality a model genuinely needs, and the difference between a demonstration and a production system, which is where most initiatives quietly end. Bias, explainability and the regulatory expectation of a human decision are covered against POPIA and comparable regimes. The course closes on evaluating a vendor or internal proposal, including the ongoing cost of a deployed model, which proposals routinely omit.
3 day course
Course objectives
- Explain in plain terms what these systems do
- Assess whether the data volume and quality a model needs actually exists
- Distinguish a demonstration from a production system
- Identify bias and the harm it produces in a specific application
- Apply explainability and human decision requirements under POPIA
- Evaluate a vendor or internal proposal past the demonstration
- Account for the ongoing cost of a deployed model
Who should attend
- Executives and senior managers approving investment
- Product and operations leaders
- Risk, audit and compliance professionals
- Technology managers commissioning models
- Public sector decision makers
Course outline
- 01What these systems actually do
- 02Data volume, quality and the honest precondition
- 03Demonstration against production
- 04Bias and application specific harm
- 05Explainability and the human decision
- 06Regulatory expectations under POPIA
- 07Evaluating a proposal
- 08The ongoing cost of a deployed model
Scheduled sessions
| Dates | Venue | Format | Price | Register |
|---|---|---|---|---|
| 30 December 2026 to 1 January 2027 | Online | Online | R6,500 per delegate | |
| 15 to 17 February 2027 | Maputo, Mozambique | Classroom | USD 995 per delegate | |
| 22 to 24 March 2027 | Durban, South Africa | Classroom | R14,950 per delegate |
Machine Learning for Decision Makers
From R6,500