Adapting to Tomorrow: How AI & ML Pipelines Embrace Continuous Self-Learning
Introduction Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized various industries, from healthcare and finance to marketing and transportation. Traditionally, AI and ML systems were developed through pre-defined algorithms with fixed datasets, limiting their adaptability and learning capabilities. However, recent advancements have led to the development of continuous self-learning knowledge systems, allowing AI models to evolve and improve over time. In this article, we explore the concept of self-learning knowledge systems and how AI & ML pipelines have facilitated their creation. The Traditional AI & ML Pipeline Historically, AI & ML systems followed a traditional pipeline model. Engineers and data scientists crafted algorithms based on specific datasets to perform a particular task. Once deployed, these systems executed their designated functions without the ability to learn or adapt to new data. While this approach...