machine-learning video for a retail company uses a machine learning model to predict customer demand. The vendor of the model supplies cleaned and prepared
A retail company uses a machine learning model to predict customer demand. The vendor of the model supplies cleaned and prepared training data every 3-4 days, which is uploaded to an Amazon S3 bucket. The company has set up an Amazon SageMaker pipeline to retrain the model whenever new data becomes available. Until now, triggering the SageMaker pipeline has been a manual task. An ML engineer is tasked with implementing an automated solution to trigger the pipeline automatically whenever new data is uploaded to the S3 bucket. What solution should the ML engineer implement to achieve this with the LEAST operational effort?