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The Future of JDE Analytics with Machine Learning

Presented at INFOCUS 20

Session ID: 100180

Consumers are exposed to AI every day. From Netflix recommendations to Google Maps routes, these uncannily accurate predictions are powered by machine learning algorithms and predictive models. This type of analytics can help companies run their businesses better, too.

To address this need, an innovative trend called augmented analytics has emerged to extend human intuition with computer-generated, data-driven insights. This new paradigm uses automated machine-learning algorithms and models to augment human intelligence throughout the full data analysis and decision-making process.

Learn how leading BI tools incorporate built-in machine learning capabilities that can be seamlessly integrated with JD Edwards. In this demo-filled glimpse into the future of analytics, we will illustrate some of the unbiased insights that can be gained from a common JDE infrastructure with AI-enabled advanced analytics, natural-language query, and generation, and smart data visualization.

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The Future of JDE Analytics with Machine Learning