Bottom line: Machine learning makes it possible to discover patterns in supply chain data by relying on algorithms that quickly pinpoint the most influential factors to a supply networks’ success — while constantly learning in the process.
Artificial intelligence promises to have a profound impact on the way in which shippers and carriers do business together. Assuming, of course, that they’re able to make use of the wealth of data that the technology offers.
Four decades ago as a young engineer working for Imperial Chemical Industries Ltd., Patrick Thomas helped install one of the sector’s first digital computer systems: a mahogany-encased machine now on display in a science museum.
Supply chain management is focused on the material flow of physical goods from manufacturers to end consumers. Managing financial flows within the supply chain is extremely important as well.
Google is banning the development of artificial-intelligence software that can be used in weapons, chief executive Sundar Pichai said last week, setting strict new ethical guidelines for how the tech giant should conduct business in an age of increasingly powerful AI.
Every company uses software, obviously. There isn’t a technology industry keynote that passes without a besuited evangelist telling us that “every business is a technology business” — and they may even pepper in the old “hey Uber has no cars, Amazon has no bookstores” chestnut if they really want to check all the boxes.
Smart factories that use breakthrough technologies to drive efficiencies within production processes and across value chains have captured the attention of manufacturing executives.
The latest news, analysis, trends and solutions for big data, blockchain and the internet of things (IoT) and their impact on supply chain management. Big data describes the large volume of data that inundates a business on a day-to-day basis and can be analyzed for strategic business insights. IoT is the means that collects and sends data from a range of “things” — anything from watches to fridges to cars — that are connected to the internet with sensors or computer chips. Learn how companies around the world are using big data, blockchain and IoT for supply chain optimization and competitive advantage.
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