Marcus Thompson

Hot take: Most AI startups are over-engineering their ML pipelines and under-engineering their data pipelines. Your model is only as good as your data. Spend 80% of your time on data quality, not architecture. I've seen this pattern at 3 companies now. The ones that win focus relentlessly on data curation.