AI adoption accelerates when data, cloud platforms and operations work together. Fragmented systems, disconnected data and integration debt continue to slow deployment across African enterprises. This panel examines the integration architectures and data infrastructure decisions that allow AI, automation and new digital services to scale.
- Breaking data silos that constrain AI adoption, automation and enterprise decision-making
- Which integration approaches including API management, event-driven platforms and middleware are proving most effective at scale
- Building interoperable infrastructure that accelerates every subsequent transformation initiative rather than rebuilding connections from scratch
- Prioritising data platform investments that give AI and analytics access to consistent, real-time enterprise data
- Aligning integration and data architecture decisions with AI ambition, growth objectives and competitive advantage
