10 cloud and AI roadblocks, and the smart ways to solve them
10 cloud and ai roadblocks

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Companies are excited by the opportunities offered by the cloud and AI, but they’re also asking the right, tough questions. Here are the 10 most common questions business leaders bring to us, and the solutions that work:

  1. How do we control and predict cloud costs before they spiral out of budget?
    Implement cost governance tools, set clear usage policies, and regularly optimise workloads.
  2. Should we go all-in on one provider or hedge with multi-cloud/hybrid?
    Adopt a strategy that aligns with your risk appetite. Hybrid offers flexibility, single-provider offers simplicity, but most companies can find the perfect solution for them with hyperscalers like AWS.
  3. Who really owns security and compliance in the cloud, us or the vendor?
    Shared responsibility is key. Providers secure infrastructure, but you secure access, data, and configurations.
  4. Do we have the skills in-house to manage cloud and AI effectively?
    Invest in training and certification while partnering with experienced vendors to bridge gaps.
  5. Where do we start with AI to see real ROI, without getting stuck in experiments?
    Focus on clear business problems (like compliance automation or client insights) instead of “AI for AI’s sake”.
  6. Is our data good enough for AI, or do we need to clean and consolidate first?

Strong data governance and integration practices are the foundation of successful AI.

  1. How do we ensure AI is fair, unbiased, and explainable to regulators and customers?
    Use transparent AI frameworks, audit models regularly, and document decision-making logic.
  2. Should we build AI models ourselves or leverage pre-trained ones?
    Pre-trained models speed up time-to-value, and there are even custom solutions available for highly specialised needs.
  3. Will AI replace jobs, or can we reskill and redeploy talent effectively? Focus on augmentation, not replacement. Pair AI with human expertise and invest in upskilling.
  4. How do we integrate AI into existing systems and workflows without disrupting business?
    Start small with pilot projects, then scale gradually with proper change management.

Cloud and AI adoption isn’t just about technology, it’s about building smarter, more resilient businesses. With the right strategies, every one of these questions can be turned into an opportunity.

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10 cloud and AI roadblocks, and the smart ways to solve them

Companies are excited by the opportunities offered by the cloud and AI, but they’re also asking the right, tough questions.