The growing number of abandoned AI projects isn’t an indictment of AI technology itself, but rather a reflection of organizational readiness. By recognizing that data preparation and business alignment are not merely prerequisites but the foundation of AI success, companies can avoid becoming another statistic.
From the data that fuels AI to the powerful models that drive its intelligence, modern AI systems are built on four key pillars: data, applications, large language models, and infrastructure. Whether it’s generating text, creating art, or solving complex problems, these components work together to make AI tools like ChatGPT and DeepSeek possible. Let’s dive into how each piece fits into the bigger picture of artificial intelligence.