Originally published in Forbes When Henry Castellanos first presented his machine learning model to his company’s executives, he found himself fighting off a certain self-doubt that is so common among data professionals, it’s almost universal. On one hand, his model looked great. It did a sturdy job predicting which dental patients would fail to show
By: Reya Vir and Rahul Vir
Originally published on Towards Data Science, March 4, 2026. Too many prototypes, too few products Software development has fundamentally changed in the GenAI era. With the ubiquity of vibe coding tools and agent-first IDEs like Google’s Antigravity, developing...
