Gable.ai is emerging out of stealth mode this week with $7 million in seed funding and a plan to bridge the gap between data gathering and the artificial intelligence applications that rely on that data to function. The startup’s approach is based on the premise that “data modeling is often an afterthought” at the AI stage, where software developers are stuck working with whatever the data crew has handed them. Gable.ai aims to create a more structured workflow between the two, where end-uses are taken into account at the front end resulting in clean data optimized for AI use. Continue reading Gable.ai Aims to Reinvent How Data Engineers and AI Interact