Also, the critical element for machine-learning models is training &amp; testing data.  Many startups lack access to large quantities of data; since data is proprietary and often expensive, it&#x27;s really a competitive advantage for large established companies, not startups.  If your startup is focused around a machine-learning model, your first priority should be to acquire lots of data - and usually, if you can acquire lots of data, you have a valuable product in its own right without the machine-learning.<p>Totally agree about ML being an enabler to make great products better, not to bring new products into existence.