Tag: DataGovernance

For many South Africans, interacting with the government still involves repeating the same process over and over again. Whether citizens apply for an ID, access healthcare, navigate the justice system, or engage with social services, they often resubmit the same information. They also move between disconnected processes. Records do not always align. Each interaction can feel separate from the last.

For years, banks have modernised around channels. Mobile apps have improved. Onboarding has become faster. Customer engagement has also become more personalised. These improvements matter because customers experience them daily. However, a more difficult shift is now underway.

Digital trust is the invisible contract that lets people, businesses, and governments rely on digital systems for critical interactions. Without it, Digital Public Infrastructure (DPI) - the shared digital rails for payments, identity and data exchange - cannot scale or deliver the economic and social value it promises.

South African organisations are moving quickly from Artificial Intelligence (AI) experimentation to deployment. The latest South African Generative AI Roadmap 2025 highlights this shift. It found that 67% of respondents reported current GenAI adoption. This figure is up from 45% in 2024. Therefore, organisations are moving from planning to active use.

According to our latest C-suite barometer, business leaders entered 2026 with both confidence and caution. Notably, 92% of executives reported a positive growth outlook for their organisations. At the same time, Artificial Intelligence (AI) emerged as the most influential external trend. Specifically, 40% of respondents identified it as the key factor shaping business over the next 12 months.

A paradigm shift is necessary to ensure that shareholders, customers, employees and society benefit from good governance outcomes. The introduction of the King V Code on Corporate Governance for South Africa 2025 (King V) marks a clear turning point. Governance no longer functions as a simple administrative task.

Artificial Intelligence (AI) is transforming how organisations innovate, serve customers and operate at scale. When these workloads stretch across multiple cloud providers, complexity rises sharply. Multi-cloud promises flexibility and resilience, yet it also introduces a fragmented security landscape. Many organisations are still struggling to control it, highlighting the importance of multi-cloud AI security.

In 2023, we witnessed the Big Bang of technology. That year, Artificial Intelligence (AI) ignited a new era of innovation and transformation. In 2025, GenAI went mainstream, and agentic AI entered the scene. Most importantly, real return on investment began to emerge in major enterprises. These milestones confirm that the AI revolution continues to reshape how organisations create value. In 2026, the AI story accelerates further.

Since the release of the “Principles for effective risk data aggregation and risk reporting” regulation (commonly known as BCBS 239) in January 2013 by the Basel Committee on Banking Supervision (BCBS), the regulation evolved significantly, transitioning from a regulatory requirement into a strategic framework for improving risk data aggregation and reporting across the banking sector.