Avoiding Common AI Adoption Mistakes

Most AI projects fail not because of technology, but because of unrealistic expectations.In this video, we break down what realistic AI adoption actually looks like – from setting the right KPI and business metrics to choosing the right vendor and preparing your team for collaboration with AI systems.This video answers key questions like:- Why 100% data extraction accuracy is impossible;- How to guide AI models through better prompting and continuous feedback;- Why starting small with pilot projects is the best way to scale AI solutions;- How to upskill your team and close the AI knowledge gap.If you're currently investing in AI or planning to – this video will save you from common mistakes and help you get real business value from your AI projects.

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