How do companies that can afford to spend a respectable amount every month on consulting - say $15K/month and above - go about hiring data science / machine learning consultancies?What is the thinking and process they typically follow?I see a lot of DS/ML consultancies publish blog articles on DS/ML topics. Sometimes they focus on industry use cases and sometimes on theory/engineering.How effective are these blog articles really in acquiring clients?Do you know any instances of CTOs / CEOs who look for such articles and evaluate a consultancy based on such content?