The hype surrounding AI may be loud, but the reality is that many companies are struggling to implement generative AI projects due to technical complexity, lack of talent, and ancient tech stacks. Despite the potential benefits, only 10% of companies are successfully implementing AI projects at scale, and only 15% are seeing a positive impact on earnings. The main obstacles include estimating and demonstrating value, lack of talent, and technical complexity. To overcome these challenges, companies need to focus on good data, data readiness, and a centralized approach to AI. It’s essential to avoid getting caught up in the hype and take a cautious approach, focusing on delivering value and building from there.
AI Reality Check
Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.
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