The baby food industry is realizing the importance of artificial intelligence (AI), to manage quality control. Japanese food producer Kewpie Corp. says that it is using Google's TensorFlow artificial intelligence, to quickly inspect ingredients that go into baby food products. This includes diced potatoes it uses in baby food, an ingredient that comes under most scrutiny in terms of safety since quality can greatly vary across batches of production and packaging. Kewpie tied up with analytics firm BrainPad Inc. to train machine learning algorithms to recognize the ingredients. The TensorFlow system was "educated" to identify the clean and healthy ingredients, by making it recognize as many as 18,000 photos of potatoes, which included acceptable and useable, as well as defective and unusable potatoes.

Japanese food producer Kewpie Corporation has revealed that it's using Google's TensorFlow to quickly inspect ingredients, including the diced potatoes it uses in baby food. The result was an inspection system with "near-perfect" accuracy, culling more defective ingredients than humans alone -- even with a conveyor belt shuttling potatoes along at high speed. The TensorFlow system handles the initial removal, but there are still people waiting to inspect the potatoes afterward. The tech is currently limited to Kewpie's baby food, but the company expects to spread it to other foodstuffs before long.

The premise behind Google's Cloud Machine Learning Engine and TensorFlow technologies is to democratize access to machine learning tools and technologies. Additionally, these products are able to be implemented without the help of a PhD-educated data scientist. At the 2017 Google Cloud Next conference in San Francisco, a breakout session explained how a host of companies in various industries are using machine learning tools. Here are seven companies that implemented Google's machine learning tools to solve problems in their business. AXA is an international insurance firm.