Data, Infrastructure & AI Platforms
Enterprise AI performance is shaped as much by the surrounding architecture as by the models themselves. Data quality, retrieval, processing capacity, integration, deployment patterns, platform design and operational tooling determine whether systems remain reliable, economical and maintainable under real workloads. The domain examines those foundations and the trade-offs around latency, cost, interoperability, governance and scale.