Tag: BusinessTechnology
Software upgrades – who’s really in control?
Enterprise software used to be a decision within the IT lifecycle. However, it is no longer just that. Core platforms such as ERP systems, databases and virtualisation have become embedded in how organisations recognise revenue, control costs and satisfy regulators. These platforms are not back-office systems. They are financial infrastructure. Increasingly, they are dictating capital allocation in ways many CFOs did not sign up for.
Technology value, governance and optimisation – the Microsoft 365 case
Microsoft 365 is embedded in a significant number of South African organisations, but adoption doesn’t mean value. The difference between the two is showing up as cost and risk. There’s a reason companies invest in technology. It should deliver measurable gains across key areas such as productivity, cost and time savings, and operational optimisation.
AI workplace monitors – strategically enhancing productivity
When discussing the AI-driven workplace, many people focus on powerful processors, intelligent software and the transformative potential of large language models. However, one critical component often goes unnoticed: the monitor. Far from serving as a mere peripheral, modern displays are evolving into essential productivity hubs. As a result, they enable employees to fully harness the power of Artificial Intelligence (AI).
Rising IT costs – inaction is the expensive strategy
There’s a disconnect in many businesses right now. IT teams face pressure to deliver refresh cycles, upgrades and infrastructure rollouts on schedule. At the same time, CFOs must control costs and protect cash flow. On paper, both groups are doing exactly what they should do. However, the numbers they work with no longer reflect reality. Most IT budgets today rely on assumptions that no longer hold.
AI trends changing how organisations operate
It is fair to argue that Artificial Intelligence (AI) has largely remained in an experimental phase over the past few years. However, the focus for 2026 will likely shift away from novelty. Instead, organisations will prioritise real-world applications. Many analysts now view these developments as part of broader AI trends that will shape how companies operate.



























