What Enterprises Can Learn from Machines (Or the Other Way Around) - Prodoscore

The real-world application of this algorithm used a series of iterative calculations to determine the best routes for traveling salespeople to use to fully and most efficiently cover their territory. Through the iterative process, this appeared to learn routes and improve efficiency over time. Many scholars considered this a little bit of a stretch on machine learning and artificial intelligence. To quote the introduction in the book, Artificial Intelligence: A Modern Approach (2016 edition): "We call ourselves Homo sapiens – man the wise – because our intelligence is so important to us." And while we consider ourselves intelligent, many people think only living, breathing beings can be intelligent and learn. I would have to disagree with that – thanks to the introduction of neural networks, natural language processing and all the other disciplines that touch artificial intelligence, machine learning is a real thing. Machines learn from the data that passes through them and are capable of processing vast amounts of data faster than us humans can. And those machines have the power to remember all that data, find the hidden patterns, the missing links, etc. – better than people can, and even faster than groups of people working together in enterprise businesses. Think about that device in your back pocket for a moment.