Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries, from healthcare and finance to autonomous vehicles and Algorithmic trading. However, ensuring their resilience and reliability is crucial as AI and ML systems become increasingly integral to our daily lives. This is where Chaos Engineering steps in, offering a novel approach to test and enhance the robustness of AI-driven systems.
The Rise of AI-Driven Systems
AI and ML have ushered in a new era of automation and decision-making. These technologies offer unprecedented opportunities, from predicting customer behavior to optimizing supply chains. However, their complexity and reliance on large datasets make them susceptible to various failure modes, including: