INTELLIGENT BRANDS // Cloud

Mike Hoy , Chief Technology Officer , Pulsant , on the importance of ‘ harnessing ’ AI . scale and complexity of AI with these infrastructures having billions of parameters and the dependency to produce a constant flow of realtime data streams . This necessitates a paradigm shift in cloud design and supporting infrastructure to fully unleash the potential of AI .

While security , connectivity and resilience ( enabled by geographically distributed networks ) remain fundamental , the escalating cost of operating in public clouds is forcing organisations to reassess their reliance on providers like AWS and Microsoft .

The surge in workload repatriation to private clouds underscores the critical need for standardised data migration processes to ensure a smooth and efficient transition .

Legislative guidance on cloud migration could be a game-changer for organisations , establishing standardised data movement practices allowing organisations to more easily adopt hybrid cloud models suited to their AI requirements and broader business objectives .

Organisational data is divided across multiple platforms and locations , that transcend through boundaries of prominent ecosystems like AWS and Microsoft . AI applications require a robust and reliable network to ensure consistent latency , performance and real-time data exchange .

Connectivity , therefore , becomes the linchpin for unlocking the value of these disparate data sources .

Board members tend to overlook the importance of connectivity , who mistakenly assume that “ it will just work ”. This oversight can have catastrophic consequences for AI initiatives .

In the face of increasingly distributed AI workloads , a standardised approach is crucial . It will not only accelerate AI adoption and foster best practices but also solidify the position of AI leaders as the market matures .

AI ’ s growing demands on infrastructure necessitate increased awareness within the tech industry regarding the interplay of connectivity , cloud models and the broader ecosystem .

In this new era of AI , connectivity and cloud considerations are no longer secondary concerns – they are fundamental to success . By prioritising these factors in planning and execution , businesses can effectively navigate the complexities of 2025 and beyond .

Successfully managing cloud-related challenges when implementing AI hinges on a strategic shift in approach .

In 2025 , deploying AI without a robust connectivity strategy is not merely a misstep ; it ’ s a strategic failure with severe repercussions .

Connectivity challenges highlight a critical need for new cloud models to be developed to support the demands of AI . This has reignited a broader debate about the future of cloud computing .

AI models differ from traditional software applications which makes early cloud infrastructure lack the foundations to handle the immense

Businesses must move beyond the assumption that “ it will just work ” and actively address the likes of connectivity issues , exploring hybrid cloud models , embrace standardisation and holistic approach that considers both connectivity and cloud considerations being essentials .

If businesses are prioritising these factors , then they can effectively navigate the complexities of AI implementation in 2025 and beyond – unlocking the true potential of this transformative technology . p

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