Digital Transformation and Emerging Technologies
Transformation is organisational, not just technical
Digital transformation is the rethinking of business models, processes and customer experience enabled by digital technology. Candidates should be able to separate digitisation (converting analogue records), digitalisation (automating existing processes) and transformation (changing what the organisation does and how it creates value).
Concepts to master
- Enablers: cloud computing (service and deployment models), APIs and integration platforms, data platforms, mobile and internet of things, robotic process automation, artificial intelligence and machine learning, blockchain for shared ledgers, and digital identity.
- Automation spectrum: rule-based RPA for structured repetitive tasks, versus machine learning for pattern recognition and prediction. RPA mimics user actions and is brittle when interfaces change.
- AI governance: training data quality and bias, explainability, human oversight, model drift monitoring, and accountability for automated decisions affecting people.
- Operating model change: product teams, platform thinking, DevOps and continuous delivery, and the shift from projects to products.
- Benefits and change: benefits realisation plans, capability building, workforce transition, and managing resistance.
- Risk themes: vendor lock-in, data privacy, cyber exposure from connected devices, and over-reliance on unvalidated models.
Traps in questions
- Calling any system upgrade a transformation; if the business model and decision rights are unchanged, it is digitalisation.
- Assuming AI removes the need for human judgement in regulated or high-impact decisions.
- Choosing RPA for unstructured, judgement-heavy work where it will fail at scale.
- Ignoring process redesign before automation, which simply automates existing waste.
Worked rule of thumb
Before automating, apply simplify, standardise, then automate. If a process has many exceptions, map them first: high-volume, rule-based, stable steps suit RPA; variable, judgement-based steps suit machine learning with human review; and if the process itself is unnecessary, remove it.