2024 Cloud Complexity Report: The AI Divide
AI success hinges on more than just advanced tools — it depends on unified, reliable data. This analyst report details how data fragmentation can derail even the best-laid AI plans and why you should invest in intelligent infrastructure to close the gap. Download the report to see what separates AI leaders from the rest of the field, and contact Szymanski Consulting Inc for personalized support on your next steps.
What is the current state of AI adoption across different countries?
In AI-leading countries like India, Singapore, the UK, and the USA, 60% of companies have AI projects either up and running or in pilot. In contrast, only 36% of companies in AI-lagging countries, such as Spain, Australia/New Zealand, Germany, and Japan, have similar projects, with Japan trailing at just 17%.
What are the main challenges companies face in AI implementation?
The primary challenges in the AI era include rising IT costs and security concerns. Despite these challenges, companies are finding ways to fund AI initiatives, with many scaling back or reallocating resources from other IT operations to accommodate AI project costs.
What factors contribute to successful AI initiatives?
Five critical areas for AI success include having rich, connected, and accessible data, an AI-trained workforce, the right AI partners, access to high-performance compute and storage, and visibility and control over CloudOps and costs.
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