Practical problems? - How do I professionally transfer machine learning models into the productive phase?

"It took me three weeks to develop the machine learning model. In the meantime, a year has passed and it is still not in production." These or similar statements occur again and again in projects. The complaint of an anonymous AI developer describes the dilemma faced by many companies pursuing ML projects that actually want to reap the benefits of artificial intelligence and machine learning (AI / ML) on a larger scale.

Read more in the article from IT Mangement 05/06-2023: (DE)

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