Forget plug-and-play AI: Here's what successful AI projects do differently

The article highlights the challenges in successfully implementing AI projects in businesses. It notes that only 5% of AI business projects succeed, and explores the key factors that distinguish successful AI initiatives. The article emphasizes that successful AI projects do not rely on "plug-and-play" AI solutions. Instead, they invest in building strong data foundations, prioritizing business value over technology, and fostering collaboration between business and technical teams. Successful projects prioritize understanding the business problem and aligning AI solutions accordingly, rather than starting with the technology. They also focus on data quality, governance, and infrastructure to ensure reliable AI models. Additionally, successful projects involve cross-functional teams, including business stakeholders, data scientists, and IT professionals, to ensure alignment and address challenges holistically. The article suggests that businesses need to shift their approach from quick-fix AI solutions to a more strategic, value-driven, and collaborative model to increase the chances of successful AI implementation.