As AI space gets crowded, there are a slew of businesses -- new and old -- looking to market themselves as "AI companies." But according to Andrew Ng, a founder of the Google Brain team and a luminary in the space, there's more to being an AI company than just using a neural net. From a report: In his view, while it's possible to create a website for a shopping mall, that doesn't make it an internet company. In the same way, just implementing basic machine learning does not make a standard technology company (or any other business) an AI company. "You're not an AI company because there are a few people using a few neural networks somewhere," Ng said. "It's much deeper than that." First and foremost, AI companies are strategic about their acquisition of data, which is used as the fuel for machine learning systems. Once an AI company has acquired the data, Ng said that they tend to store it in centralized warehouses for processing. Most enterprises have their information spread across multiple different warehouses, and collating that data for machine learning can prove difficult. AI companies also implement modern development practices, like frequent deployments. That means it's possible to change the product and learn from the changes.
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