CLOUD & COLOCATION
“ The future of cloud is one where hyperscalers, neoclouds, sovereign providers, on-premise systems and edge environments operate as a cohesive, interconnected fabric”
Dmitry Panenkov Founder and CEO emma
Over time, the organisations lose predictability. Workloads scale differently, logging behaves inconsistently and infrastructure and cost patterns vary widely across clouds.
Without a unified governance model, the multi-cloud strategy becomes difficult to secure and prone to operational surprises.
Q. WHY IS CENTRALISED GOVERNANCE – SPANNING COSTS, PERFORMANCE, SECURITY AND COMPLIANCE – THE KEY TO ENABLING A“ MULTI-CLOUD FOR AI” STRATEGY THAT IS FLEXIBLE WITHOUT BECOMING CHAOTIC?
» Centralised control is essential for multi-cloud AI because it provides a single operational layer that ensures consistency across all environments, regardless of provider.
By defining policies for cost, performance, security and compliance in one place, organisations can ensure that every workload is deployed and operated according to the same standards. This allows teams to choose hyperscalers or neoclouds based on business intent, such as locality or cost efficiency, without creating cloud-specific exceptions or silos.
Unified governance also automates policy enforcement, ensuring that guardrails are applied continuously rather than retroactively. This not only reduces risk but also streamlines operations by abstracting away provider differences.
With this model in place, multicloud becomes a deliberate,
124 April 2026