The Life's Way: Generative AI

Showing posts with label Generative AI. Show all posts

Tuesday, 12 August 2025

SA businesses embrace GenAI – but strategy and skills lagging, finds 2025 Roadmap

Hi Guys,

South African enterprises are rapidly integrating Generative AI (GenAI) into their operations, but most are doing so without formal strategies, dedicated leadership, or the infrastructure required to maximise value and minimise risk.

This is the key finding of the newly released South African Generative AI Roadmap 2025, based on a study by World Wide Worx in collaboration with Dell Technologies and Intel.

The report, which surveys over 100 mid-sized and large enterprises across industry sectors, shows that GenAI adoption has climbed from 45% of large enterprises in 2024 to 67% in 2025.

This dramatic rise positions GenAI as the fastest-moving digital trend in the country. However, in a rush to adopt the fast-growing technology, there is a need for organisations to take the foundational steps of planning and governance. Doing so will more clearly connect AI to people and processes and help organisations reap genuine, sustaining ROI.

“Many organisations are simply unaware of the gaps they’re leaving in their systems,” says Arthur Goldstuck, CEO of World Wide Worx and principal analyst of the study. “The risk goes beyond the technical, and includes reputational, ethical, and operational vulnerability. While the first step of technology adoption is well underway, our survey demonstrates there is room for operational growth.”

SA businesses embrace GenAI – but strategy and skills lagging, finds 2025 Roadmap

According to the report’s findings, AI adoption has brought clear benefits to the organisations using it:

86% of GenAI users cite increased competitiveness as a result of using AI tools.
83% report improved productivity.
66% see enhanced customer service.

Yet, behind these numbers lies an operational gap:

Only 14% of organisations have a formal company-wide GenAI strategy.
Just 13% have implemented governance or ethical frameworks in the form of guardrails for safety, privacy and bias mitigation.
39% cite high implementation cost as the primary barrier to GenAI adoption

AI maturity requires foundations

“The roadmap aims to help guide stakeholders to fully understand the scope of GenAI, and to build transparent strategies that deliver on its promise without placing enterprises at risk,” says Goldstuck. “What’s most startling is that many companies think using a GenAI tool is the same as having an AI strategy.”

As companies race to embed GenAI tools like Microsoft Copilot and ChatGPT into business functions, most are overlooking deeper transformation through infrastructure, skills and internal capability. Holistic AI infrastructure, combined with people and processes, is critical to scaling AI deployments and clearly connecting them to tangible return on investment.

Shadow AI

The report raises the alarm about “shadow AI” – the unsanctioned use of GenAI by employees without oversight. Currently:

32% of businesses report informal or unregulated GenAI use.
A further 20% report a mix of official and unofficial GenAI use.
84% say oversight is an important or very important success factor for GenAI deployment.

Critical governance measures include clear principles for oversight, accountability, and responsible use. It enables organisations to build trust, reduce risk, and drive long-term value.

“The current use of GenAI is largely taking place in a regulatory and ethical vacuum,” Goldstuck warns. “The longer this continues, the more harm can be caused to both businesses and individuals before these guardrails are in place.

“Without governance, organisations are walking blindfolded into a future shaped by AI. That might be exciting, but it is not sustainable.”

The roadmap also identifies two areas of opportunity:

Business and Societal impact: Over 75% of respondents have no measures in place to monitor or reduce the energy use and footprint of GenAI.
Skills development: A massive 87% of businesses have committed to GenAI upskilling or training of employees.

The report cautions that South Africa could find itself divided by the ability to use GenAI wisely and scale deployments as the technology matures.

Goldstuck says: “There’s a real risk of a GenAI disconnect in South Africa between those who use GenAI deliberately, strategically and ethically, and those who use it blindly or not at all.”

About World Wide Worx:
World Wide Worx is South Africa’s leading independent technology research organisation, focused on delivering evidence-based insights for digital transformation.

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Thursday, 10 July 2025

From LLMs to RAG: Why South African Enterprises Must Evolve Their GenAI Architecture By Tony Bartlett

Hi Guys,

There’s no question: Generative AI (GenAI) has captured the imagination - and attention - of business leaders across South Africa. What started as a series of pilots is now becoming core to how companies operate, serve customers, and make decisions. But as many businesses are discovering, the real magic doesn’t just come from having a Large Language Model (LLM) in your tech stack. It comes from making GenAI generate tangible ROI.

And that’s where a new evolution is taking shape: Retrieval-Augmented Generation (RAG), a transformative approach that connects AI systems to an organisation’s unique data, which allows these systems to generate responses that are both more accurate and more contextually relevant.

What RAG really does and why it matters

While LLMs have shown remarkable fluency in generating text, they are limited by the static nature of their training data. In fast-changing industries, this leads to outdated or misleading information. For businesses operating under strict regulatory frameworks, these shortcomings present real risks.

This is where RAG comes in. And for those of us leading transformation in complex, fast-moving environments, it’s the upgrade we need.

RAG makes additional data available to LLMs, increasing their efficiency and scalability without having to retrain the model. Businesses can expand their AI deployments more effectively and adjust as their needs evolve. Additionally, RAG’s ability to draw from a diverse set of external data sources means it can adapt to varying needs and applications, scaling the model to reach new use cases.

The result? Answers that aren’t just intelligent - they’re grounded in current, verifiable data that also improves the model’s performance on enterprise-specific queries. It’s no surprise that the RAG market is expected to grow from $1.2 billion in 2024 to more than $67 billion by 2034, at a compound annual growth rate (CAGR) of nearly 50% (Precedence Research).

A new frontier: Agentic RAG

Now take that one step further. Imagine if your RAG-powered GenAI assistant could also plan tasks, make decisions, and act on your behalf. Unlike traditional AI systems that rely heavily on human prompts or structured inputs, Agentic AI is a software system that uses artificial intelligence to autonomously make decisions and take actions to achieve a set of objectives identified by humans who serve as orchestrators or managers. These systems can autonomously negotiate schedules, manage supply chains, respond to customers in natural language, and even execute operational tasks that meet the directed goal.

Crucially, agentic systems are not just reactive - they are proactive and collaborative, operating in increasingly human-like ways. This evolution opens doors to greater organisational agility, real-time decision-making, and massive efficiency gains. It also brings forth ethical questions and cultural shifts that must be addressed through thoughtful leadership. At Dell, we welcome collaborative efforts to set principles and standards for responsible AI development that build trust, safety and enable global harmonised standards and innovation.

From LLMs to RAG: Why South African Enterprises Must Evolve Their GenAI Architecture By Tony Bartlett

Tony Bartlett, Director of Data Centre Compute

A strategic playbook for South African CXOs

South African enterprises are embracing GenAI at an unprecedented pace. In the South African GenAI Roadmap 2025, a study published by World Wide Worx, Dell Technologies and Intel, 66% of respondents reported adoption of GenAI, up from 45% in 2024. Additionally, according to The Institute of Risk Management South Africa, the local GenAI market is forecast to increase from $27.1 million in 2024 to $173.5 million by 2030.

Despite this momentum, challenges remain. The same study found that 40% of South African respondents identify high implementation costs as the top barrier to adopting AI, followed by data privacy concerns (30%) and lack of skilled talent (29%).

To prepare for this shift and capitalise on RAG/Agentic RAG, here are five steps CXOs can take:

1. Build the right data and infrastructure backbone

RAG systems, specifically Agentic RAG, are only as powerful as the data they’re fed. Many South African enterprises still struggle with fragmented data systems and poor data governance. Investing in cloud-native data architectures, real-time data pipelines, and standardised governance protocols is foundational. Embedding synthetic data generation and privacy-aware AI training mechanisms will also help accelerate scale while staying compliant with regional regulations.

2. Start building AI governance now

Agentic RAG systems operate with higher levels of autonomy, which raises concerns around accountability. Therefore, building robust AI governance frameworks is critical - these must include ethical guidelines, human oversight, audit trails, and scenario-based testing. Transparency will also be essential for businesses. As regulatory frameworks around AI evolve and the strategic importance of GenAI grows, South African organisations without clear governance ownership – or those relying solely on operational IT leadership – may face increased pressure to formalise their oversight mechanisms.

3. Drive workforce readiness

The future of work isn’t human or machine - it’s a human and machine collaboration. Equip your teams with the training, tools, and trust they need to work alongside AI systems. You’ll need AI translators, prompt engineers, and most of all, people who can see opportunities and act on them. According to statista, the demand for AI and machine learning skills in South Arica is experiencing significant growth, with a projected annual growth rate of 26.22%. Businesses that invest in learning will be the ones that thrive.

4. Run focused pilots

You don’t need to deploy Agentic RAG enterprise-wide on day one. Adopt a “test-and-learn” operating model - run controlled pilots with clear KPIs based on business priorities, rapidly iterate based on insights, and scale what works - like onboarding documents, customer FAQs, or internal policy queries. Build momentum with wins that matter.

5. Connect AI to business value

Always tie your AI strategy back to business outcomes. Whether it’s faster decisions, better customer experiences, or more efficient teams, link GenAI adoption to measurable results. For example, a retailer in Germany uses RAG to power shopping assistants that check inventory in real time and deliver tailored product suggestions. The lesson? These technologies work best when they’re solving real business problems for people.

Final Thoughts: It’s Time to Evolve

For the South African CXO, the mandate is clear: don’t stop at LLMs. Lead your organisation into the next chapter of enterprise AI - one where intelligence is not just generated, but grounded, goal-driven, and trusted. As GenAI matures, the shift isn’t just about better models - it’s about better business outcomes. Smarter automation. Faster decisions. Deeper insights. Use it to build a business that’s not only more efficient but also more intelligent, adaptable, and ready for the future.

Article by Tony Bartlett, Director of Data Centre Compute, Dell Technologies South Africa