Why Machine Learning Models Crash And Burn In Production

This is the title of the article published by Forbes: “One magical aspect of software is that it just keeps working. If you code a calculator app, it will still correctly add and multiply numbers a month, a year, or 10 years later. The fact that the marginal cost of software approaches zero has been a bedrock of the software industry’s business model since the 1980s.  This is no longer the case when you are deploying machine learning models. Making this faulty assumption is the most common mistake of companies taking their first AI products to market.Link

If you’re using ML to predict demand and pricing for your grocery store, you’d better consider this week’s weather, the upcoming national holiday and what your competitor across the street is doing. If you’re designing clothes or recommending music, you’d better follow opinion-makers, celebrities and current events. If you’re using AI for auto-trading, bidding for online ads or video gaming, you must constantly adapt to what everyone else is doing.

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