Reasonable Scale Machine Learning — You're not Google and it's totally OK

Hugo Bowne-Anderson sits down with Jacopo Tagliabue, Director of A.I. at Coveo, to discuss "reasonable scale" machine learning. Unlike FAANG companies, most organizations don’t need to operate ML at enormous scale, and that’s perfectly okay. Jacopo and Hugo explore what ML looks like for most companies — those with reasonable budgets, team sizes, data volumes, and compute resources — and how to build successful ML systems within these constraints.

In this episode Jacopo covers:

• What types of companies can benefit from reasonable scale ML (hint: most)
• The data, tools, and talent needed to build a sustainable ML function
• How to overcome barriers to entry for ML and get started today

_{This episode was recorded as a fireside chat on 05/31/2022.}