If you’re selling cutting-edge appliances, hire researchers. If you’re innovating in recipes to sell food at scale, you need people who figure out what’s worth cooking / what the objectives are (decision-makers and product managers), people who understand the suppliers and the customers (domain experts and social scientists), people who can process ingredients at scale (data engineers and analysts), people who can try many different ingredient-appliance combinations quickly to generate potential recipes (applied ML engineers), people who can check that the quality of the recipe is good enough to serve (statisticians), people who turn a potential recipe into millions of dishes served efficiently (software engineers), people who keep the interdisciplinary team on track (project/program managers), and people who ensure that your dishes stay top notch even if the delivery truck brings you a ton of potatoes instead of the rice you ordered (reliability engineers).
is using algori… all the talk about machine learning, many conflate what it can do with what they wish it could do. Fundamentally, machine learning is using algorithms to extract information from raw data and represent it in some type of model. We use this model to infer things about other data we have not yet modeled.