The Single Biggest Reason Why AI/ML Companies Fail to Scale and How To Fix That

Written by bastiane | Published 2020/03/19
Tech Story Tags: data-science | artificial-intelligence | machine-learning | artificial-intelligence-trends | machine-learning-use-cases | scaling | startup | technology

TLDR Machine learning has become a shiny object that everyone wants to pursue. Over 80% of companies are looking into at least one AI project. Machine learning blurs the line between user and software providers. AI/ML companies spend significant time and resources training and working with users to ensure data quality. Data collection is even more time consuming and costly with robotics or self-driving car applications because someone needs to control robots or vehicles to perform certain actions. MLaaS is a more challenging business with a lower gross margin than SaaS.via the TL;DR App

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Written by bastiane | Read writing from me bastiane.substack.com — Future of Work, ML, Robotics 2.0, Startup, Product Mgmt
Published by HackerNoon on 2020/03/19