How to put machine learning models into production

Machine learning is a race. Those companies that can put machine learning models into production, on a large scale, first, will gain a huge advantage over their competitors and billions in potential revenue. But, there is a huge issue with the usability of machine learning -- there is a significant challenge around putting machine learning models into production at scale. Organisations can create incredibly complex machine learning models, but it's problematic to take huge datasets, apply them to different iterations of ML models and then deploy those successful iterations into production. Machine learning is becoming the phrase that data scientists hide from CVs, putting a data science model into production is the biggest data challenge, and companies are still not getting it.