Generative AI Augmenting the Traditional AI and Machine Learning Life Cycle

This IDC Perspective highlights the transformative impact of generative AI (GenAI) on the traditional AI and machine learning life cycle, emphasizing its role in enhancing efficiency, accelerating model development, and addressing talent gaps. By embedding GenAI within the AI/ML life cycle, organizations can leverage foundation models to automate and improve various life-cycle tasks, from data preparation to deployment, thereby driving adoption and optimizing AI/ML investments."Foundation models are game changers not only for many new GenAI-based applications but also for streamlining traditional AI/ML drudgery," says Kathy Lange, research director, AI Software at IDC. "They have the potential to revolutionize each step of the machine learning life cycle, from data preparation to deployment and monitoring."