Dhesen Ramsamy, Old Mutual's group chief technology and data officer, will set out his views on the relationship between data stewardship and responsible artificial intelligence when he speaks at the ITWeb AI Summit on 22 April at The Forum in Bryanston. According to ITWeb, Ramsamy will argue that establishing robust data practices is the essential first step if organisations are to harness the benefits of AI while avoiding systemic risk. [2]

Ramsamy will emphasise the technical building blocks he believes underwrite trustworthy AI. "Without proper data management (quality standards, lineage tracking, bias detection), AI initiatives fail regardless of model sophistication. South Africa's National Data and Cloud Policy (June 2024) emphasises data sovereignty and localisation. In practice, many organisations discover their AI readiness depends on first addressing data governance for regulatory compliance. The regulatory imperative often drives the necessary foundation," he told ITWeb ahead of the summit. [2][3]

He places the national policy landscape at the centre of the discussion, saying governance must reconcile three objectives: respecting legal sovereignty, enabling economic capture of data value and fostering innovation. Government releases show the National Data and Cloud Policy, published at the end of May 2024, was designed to boost public service delivery, support a nascent data economy and encourage cloud adoption while aligning existing laws and regulations. Ramsamy contends frameworks should permit legitimate use while safeguarding citizens and national interests. [3][5]

Ramsamy also draws attention to practical impediments beyond regulation. "Some reports indicate that only a small percentage of African AI talent currently has access to the computational power required for innovation," he said, noting that although South Africa has a relatively high concentration of data centres on the continent, Africa's share of global AI-ready compute remains limited. He cites infrastructure bottlenecks and a shortfall of skilled practitioners as barriers that threaten to leave many organisations on the consumption, rather than creation, side of AI capability. [2][7]

On the regulatory front, Ramsamy warns that firms are implementing AI systems faster than lawmakers can set sector-specific rules. "Business adoption outpaces regulation. Some institutions may deploy autonomous agents for high-stakes decisions (trading, customer service) without sector-specific accountability standards. Financial services require algorithmic explainability, audit trails and human oversight standards. The current vacuum creates risk as deployment accelerates. We need sector-specific frameworks with practical enforcement mechanisms," he said, arguing that legal instruments alone will not suffice unless accompanied by investment in skills, compute and technology transfer. [2]

Ramsamy will use his summit appearance to push for a two-track response: policymakers must finalise proportionate, enforceable safeguards while industry and investors back the infrastructure and training programmes that will permit local organisations to build, not merely buy, AI capability. ITWeb says his session will highlight how sovereignty and governance can be harnessed to enable innovation rather than stifle it; registration details are available from the conference organisers. [2][6]

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Source: Noah Wire Services