Data Science vs Engineering: Tension Points

This blog post provides highlights and a full written transcript from the panel, "Data Science Versus Engineering: Does It Really Have To Be This Way?" with Amy Heineike, Paco Nathan, and Pete Warden at Domino HQ. Topics discussed include the current state of collaboration around building and deploying models, tension points that potentially arise, as well as practical advice on how to address these tension points. Recently, I had the opportunity to moderate the panel, "Data Science Versus Engineering: Does It Really Have To Be This Way?" with Amy Heineike, Paco Nathan, and Pete Warden at Domino HQ. As Domino's Head of Content, it is my responsibility to ensure that our content provides a high degree of value, density, and analytical rigor that sparks respectful candid public discourse from multiple perspectives. Discourse that directly addresses challenges, including unsolved problems with high stakes. Discourse that is also anchored in the intention of helping accelerate data ...