Big Data Oct 2026 Day 1

Rofhiwa Nengovhela

Explore how a data mesh approach distributes ownership to business domains, empowering teams to treat data as a product and scale analytics with agility, collaboration, and domain-specific governance.

Rebecca Pole

Vinesh Maharaj Pr.Eng

Discuss processing data at the edge (IoT devices, sensors) to reduce latency, enhance responsiveness, and enable real-time insights for industries such as manufacturing, retail, and logistics.

Varsha Ramesar

Examine strategies for combining on-premises, cloud, and multi-cloud data infrastructures to balance cost, scalability, resilience, and performance across enterprise analytics environments.

Reitumetse Benedict Phiri

Connecting people, client, project and procurement data to enterprise compliance and governance obligations. A connected enterprise view that enables businesses to improve visibility, identify risks earlier and turn real-time data into actionable intelligence for smarter compliance and governance outcomes.

Bryan McLachlan

Highlight how businesses can use predictive models to forecast trends and prescriptive analytics to recommend actions — helping to optimize operations, reduce risk, and proactively seize market opportunities.

Lunga Zonke

Discover how organisations can transform data into measurable business value by establishing strong digital foundations, including modern data architecture, cloud platforms, governance, and AI readiness, while exploring practical approaches to creating data products, leveraging analytics, and unlocking new revenue opportunities through data-driven innovation.

Mandla (Basani) Mbasane

Explore techniques such as federated learning, differential privacy, and encryption to analyze sensitive data securely — enabling cross-organizational collaboration without compromising privacy.