In the race to build smarter artificial intelligence (AI) and supporting systems, many digital organizations and technology developers are focused on making more efficient models.
The architecture, scale and benchmark scores are all under the microscope. Yet it must not be forgotten that behind every impressive model lies a more fundamental force: data. Not just any data, but data that is high-quality, diverse, and available in sufficient quantity.
