IDC AI Report Whitepaper

• Organizations expect significant benefits from AI, and IDC is seeing a major shift from AI model training to AI inferencing (taking an AI model into production), but there are challenges.
• Businesses urgently want to accelerate the time from initial planning to being in production with AI, especially the time to build an AI model; furthermore, businesses have multiple AI use cases in development or production that require near real-time processing. Investing in GPUs helps speed up these processes, and many businesses do so — but that’s not enough.
• AI is still not well integrated; organizations are struggling to move from a siloed and low-efficiency environment for AI to a more streamlined and integrated environment. They are looking for greater integration with data repositories, vendor support, a full AI stack, greater security, and better management, not in the least because they plan to run their AI workloads on a combination of cloud, on-premises, and edge.
• Currently, most companies feel they need to overcome these challenges themselves through training and AI strategy development. IDC believes that organizations should also look to their vendors for complete enterprise-grade AI solutions to mitigate these challenges.

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