Big Data Oct 2026 Day 2

Ashleigh Meiring

Focus on frameworks that ensure data governance, ethical model development, explainability, auditability, and compliance — building trust in data-driven decisions across the organization.

John Mukomana

Compare modern approaches to data architecture — data lakehouse, data fabric, and data vault — to support efficient ingestion, management, storage, and governance at scale.

Mahendra Beharie

Dive into how maintaining high-quality, consistent, and traceable data (through lineage and MDM) underpins reliable analytics, compliance, and accurate reporting across business units.

Pravir Ishvarlal

Investigate AI-powered self-service tools that democratise data, enabling non-technical business users to generate insights, build models, and drive decisions without relying entirely on data science teams.

Theo Groenewald

Discuss the design and implementation of streaming pipelines (e.g., Kafka, Flink), event-driven systems that process and analyze live data for dynamic decision-making and rapid business response.

Parvesh Chauhan

Examine how organisations can leverage big data and advanced analytics to detect fraud, monitor risk, and secure operations — turning security data into actionable insights.

Norbit Williams

Explore the use of machine learning and artificial intelligence to build forecasting models, optimize supply chains, pricing, and resource allocation — enabling smart, data-driven operational decisions.