Today most large companies are looking at the potential of AI/ML, and despite significant investments, hiring data scientists and investing time and money, data science fails to take things to the next level.

One of the biggest challenges present in AI/ML is that a large majority of models are not deployed in production. A lot of people in the enterprises have realised that typically when you have any kind of machine learning or data science work, it goes from a few weeks to develop the model, takes far longer when we talk about placing the developed models into production, maybe more than a year till the model is put into production.

Read more: https://analyticsindiamag.com/why-majority-of-data-science-projects-never-make-it-to-production/

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