Is your organisation setup to grasp the full advantages of AI?
Returns are yet to materialise while the hype persists. Existing operating models and underlying operating fabric contributes to this current state. But there are many complexities to driving change. Just a few include the systems complexities, human resistance and commercial caution. While these issues are not easily addressed, a layered approach to the fundamentals may help. Issues span:
- infrastructure remaining reliant on a hybrid mix of arrangements across in house, edge, private and public cloud arrangements with the attendant issues of cost and workload control
- development and enhancement of enterprise applications is impacted by limited access to essential talent, continuous improvement from suppliers and duplication across departments
- data and insights journeysare often fragmented, involving multiple siloes, processes and control planes along the journey from insights to action
- people needing to rapidly learn new skills, meet new expectations and adopt new ways of delivering value under constant efficiency pressures
- models complicating all those layers, particularly where they are being retrofitted into existing operations without first redesigning how value is created and disseminated to end customers.
All of that to say that several risks are impeding the charge towards new ways of creating value. But progress will remain problematic without deeper attention for those spanning data and security, suppliers and sovereignty, and people and operations. Despite these challenges, organisations are still betting handsomely on AI to create and maintain market advantage. But for those bets to succeed, change at and beyond the digital infrastructure layer is required.
Careful adoption of neo cloud can help in some of these areas. Neo cloud is a new kind of infrastructure optimised for high-performance workloads like AI and, with deliberate redesign of the information architecture, can potentially mitigate some of the risks. Neo clouds’ main proposition involves reducing the resources required for AI outcomes. But it also appeals to organisations looking for a platform approach. By designing the right set of software, models, services and security, platforming offers a way to simplify hybrid model management as well as the intricacies of hybrid cloud arrangements.
Integral Advice recently published its findings about the neo cloud market in this context. These findings are available via 2 reports. In brief, these reports can be described as:
- A Market Trends report. Analyses the current trends, opportunities and suggested actions across 4 areas. The report contains predominantly written insights with relevant infographics and is based on our primary and secondary research. The 4 areas include:
- regard for vendor presence and sovereignty as differentiators
- attention to persistent cost, security and supplier pressures
- focus on bending AI’s power curve and securing environmentally savvy savings
- analysis of hybrid by design to avoid unintended sprawl.
- A Technology Trends report. Illustrates our latest data insights across 3 areas. The report contains predominantly infographics based on our primary research with buy-side decision makers and contains some limited analysis. The 3 areas span:
- outcomes, use cases and model use
- factoring GPU as a Service (GPUaaS) into multi-cloud decisions
- provider mindshare, selection criteria and AI governance.
After several years of planning, piloting and practicing, firmwide patience for the value promised by AI is wearing thin. Fundamental change from the infrastructure layer through to operating and business model redesign is necessary if those expectations are to be met in a reasonable timeframe. But this change will be hard if the value is to be lasting.
To learn how Integral Advice can help you sustain intelligent growth in 2026 and beyond, please get in touch or view the reports available in our shop. We look forward to assisting you.