Treat Your Data Like the Key Asset It Is
Collecting and labeling train/test data represents the single greatest development expense and source of differentiation in AI/ML model development. It is also one of the most overlooked and error-prone aspects of building ML models. It’s your data, so make sure you start your AI project off right by choosing tools that support your need to manage and curate your data investment over time without getting locked into proprietary systems. Your data is the most valuable asset in the AI/ML development process, so ensure its value will endure.