T&C19 - Assets

Master the Technology that is Creating the Future of Business

Amazon Web Services Resources EMEA

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Machine Learning, the Future, and You Master the technology that's creating the future of business Introduction Machine learning (ML) is a foundational mechanism to create artificial intelligence (AI) and has fully emerged to become one of the leading fields within information technology (IT) today. Over the last decade, ML has proved successful in activating deep learning from the banks of data that organizations have, and then solving problems with clearly defined goals in a predictable environment. Some of the most well-known applications of this are internet search, spam filters, and recommendation systems. Today, ML models have advanced in capability to processing data from sources that are dynamic and much more arbitrary, while responding at increasing speeds. Autonomous vehicles are a good example of this: the goal is straightforward (getting from point A to point B safely and at a reasonable speed); however, the data can contain random surprises at any moment. Deep learning using ML algorithms and statistical modeling requires access to big data to make assumptions and test those based on evidence (data) of past experience and to predict future outcomes. Deep learning with ML has moved to the cloud given its ability to scale and provide the flexible, nearly limitless computer processing power required for the production and training of ML models. AI systems using ML models can get more accurate at predicting outcomes with the more data they analyze and also become increasingly capable with experience. Cloud computing has unleashed the capability for organizations to input massive amounts of data into ML models for deep learning and achieve insightful predictions that were statistically very difficult to engineer with code alone, and also were expensive to implement in an on-premises environment. " Machine learning is a continuation of predictive analytics, with one key difference: The AI system is able to make assumptions, test, and learn autonomously. AI machine learning is able to test and retest data to predict every possible customer-product match, at a speed and capability no human could attain. 1 The benefit to organizations of predictive analytics goes way beyond the already established contributions that IT has made in the areas of computation and data storage. IT has traditionally been a cost center for organizations, but with ML in the cloud enabling the capability to predict the results of decisions, it can become a center of creativity and potentially even a profit generator. Whitepaper

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