Tag: data management

Artificial intelligence (AI) is no longer a distant concept waiting on the horizon. It is here. And it is moving fast. For South Africa, a country facing structural challenges but rich in ingenuity and potential, AI brings both monumental opportunities and real risks. The question is no longer whether we will participate in this new world of AI. The real question is how.

In the Artificial Intelligence (AI) era, data drives innovation. Enterprises that harness and manage their data efficiently gain a competitive edge. Meanwhile, those that fail to do so risk falling behind. AI’s potential to transform operations, enhance decision-making and fuel growth hinges on effective management of the vast volumes of structured and unstructured data organisations generate daily

The rapid integration and adoption of Artificial Intelligence (AI) across various industries and sectors is transforming the way businesses operate. It is driving efficiency, innovation and cost savings with its prolific progress. AI is reshaping the workplace at an unprecedented pace. It is streamlining administrative tasks and optimising complex processes.

A new study found that tax administration in many African countries is inefficient, hindering revenue collection. This points to potential gaps that could be addressed through institutional reforms. Widespread inefficiencies in tax systems in Africa undermine the mobilisation of government resources, limiting their capacity to deliver public services and make essential investments.

The adoption of fleet management systems in South Africa is accelerating. This is leading to safer roads. To keep up with rapidly evolving telematics technology, fleet operators are advised to view their systems through a more holistic lens. According to the Fleet Management in South Africa 2024 report, the country’s fleet telematics market penetration rate is expected to rise. It is estimated to grow from 41.5% in 2021 to 68% of the total fleet vehicle population by 2026.

Artificial Intelligence (AI) is revolutionising industries across the world. In doing so, the role of the data specialist within organisations is changing. The use of AI in data-driven roles is accelerating. These professionals must enhance their skill sets to stay relevant.

Emerging technologies must be integrated into learnerships to equip our youth for the 4th Industrial Revolution (4IR). Equipping our youth with tech-based skills is non-negotiable, and educators must integrate the emerging 4IR technologies into their training programmes. This is the only way that we can prepare our future workforce and ensure that businesses can access the skills they require for global relevance.

Outsourcing is more than just catching an expert by the digital tail and swinging them into the enterprise, it’s a strategic investment into a long-term collaboration. Outsourcing essential business operations across multiple departments and functions has proven its strategic value as service providers refine their offerings and enterprises adapt their use cases and perceptions.

According to McKinsey Digital, a new device connects to the internet every 127 seconds. And by the end of 2022, the world had over 18 billion active Internet of Things (IoT) devices, reports Ericsson. Yet, the 'IoT' buzzword belongs in the past, as today, we can call it 'business as usual'. Monitoring machines, infrastructure and their processes are now as important as being connected.

Environmental, Social and Governance (ESG) initiatives have become top of mind in many companies. This has left organisations with questions such as: “Who should run with this internally?”, “What do we need to do?”, and “Is this something that will save us money or cost us money down the line?”