In general, it is important to clearly understand your business requirements and the problem you are trying to solve when determining the best approach to automate the retraining of an active machine learning model. It is also important to continuously monitor the performance of the model and make adjustments to the retraining cadence and metrics as needed.
Artificial Intelligence (AI) has revolutionized the way businesses operate. However, with the rapid growth of AI, security concerns are rising. Companies must protect their data from cyberattacks, comply with data protection regulations, and ensure their AI models are ethical and transparent. One solution to these challenges is deploying AI at the Edge. In this article, we'll explore how the Edge can provide a secure infrastructure for private, compliance, and secure AI deployment.