What Amazon has achieved over the past 20 years has now been realized. Amazon invested in (ML) technology that changed the world as we know it. These same capabilities are now available to those ready to make the leap.
Machine learning surpasses traditional business analysis, its a giant leap forward that leaves behind ‘descriptive’ analysis. As humans our thought process and mental visualizations only go as far as 3 dimensional. Machines can ‘takeover’ from us at this point, they are able to analyze information well beyond human comprehension.
The cornerstone for developing a machine learning strategy is to determine how you address each of the necessary steps, from data collection to the metrics you choose to measure.
Keep your operation as efficient as possible by being “one of the first” to embrace and streamline your operations through machine learning.
The power of machine learning is seen as algorithms are paired with data to generate useful, even interesting predictions that businesses can act on to tackle problems—for instance, more accurate customer segmentation, customer lifetime value prediction, improved security, forecasting, autonomous driving. Machine learning is not like normal computer programming—instructions aren’t explicitly coded to tell the machine what to do; nor is Machine Learning like AI because it doesn’t make autonomous decisions. For individuals with machine learning apprehension, it likely feels like abstract magic, but it’s superior mathematics and a carefully trained process that can benefit us all.
