During an AI project, a data scientist uses a combination of data mining and data visualization techniques to extract insights from a large dataset containing millions of transaction records. The scientist notices that the data is highly imbalanced, with only a small fraction of transactions being fraudulent. Which approach would be most effective in ensuring that the insights extracted are meaningful and accurate?
In collaboration with a professional administrator, you are tasked with optimizing power efficiency in an AI data center that runs multiple deep learning workloads. Which of the following actions would most effectively contribute to reducing power consumption without sacrificing performance?
Your team is deploying an AI model that involves a real-time recommendation system for a high-traffic e-commerce platform. The model must analyze user behavior and suggest products instantly as the user interacts with the platform. Which type of AI workload best describes this use case?
In an effort to improve energy efficiency in your AI infrastructure using NVIDIA GPUs, you’re considering several strategies. Which of the following would most effectively balance energy efficiency with maintaining performance?