Tag: DataStrategy

The returns from digital transformation will remain elusive until business leaders confront an uncomfortable truth: the problem is not the Artificial Intelligence (AI), but everything underneath it. Consider this scenario. You lead a large retail business. Six months ago, you approved a significant generative AI investment to personalise customer promotions. The business case was compelling, the pilot results were strong and the board supported the move.

In a low-growth economy, organisations struggle to expand revenue. They therefore face increasing pressure to unlock efficiencies and do more with less. Consider a major South African bank. It recently celebrated a successful AI-powered fraud detection pilot. The results looked impressive. The system delivered faster detection, fewer false positives and measurable savings. Leadership felt energised.

In the pursuit of digital transformation, South African businesses often highlight their cutting-edge applications, multi-cloud strategies, or latest Artificial Intelligence (AI) models. Yet behind each of these advancements lies a powerful, unseen engine. The enterprise storage platform has quietly evolved from a simple data repository into a dynamic force for innovation.

Organisations often rush into Artificial Intelligence (AI) without a clear strategy or the right internal capability. As a result, they risk overpromising, underdelivering, and damaging their credibility in the market. These risks undermine long-term AI success and weaken stakeholder confidence.

Studies show that South Africa (SA) trails the United States of America (USA) in Artificial Intelligence (AI) implementation by 50%: confirmed by SA’s leading digital innovation agency. SA is not short on ambition when it comes to AI. However, the country struggles with execution.