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Data-Processing-Machine-Learning-Pragma-Edge-Building-Seamless-B2B-Integration

Machine learning is having a dramatic impact on the way software is designed so that it can keep pace with business change. Machine learning is so dramatic because it helps you use data to drive business rules and logic. How is this different? With traditional software development models, programmers wrote logic based on the current state of the business and then added relevant data. However, business change has become the norm. It is virtually impossible to anticipate what changes will transform a market. <br>

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Data-Processing-Machine-Learning-Pragma-Edge-Building-Seamless-B2B-Integration

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  1. Data Processing & Machine Learning-Solution benefits: Data Processing Machine Learning 1. Data Extraction SMART Client provides a easy to deploy, data extraction capabilities from different integrations are available to IBM Sterling B2B – MFT platform, Global Scape, Axway, EDIFICES. 2. Data Analysis Business enriched event data provides insights for business end user experience and removes the complexity inherent in IT systems with their myriad, disparate identifiers, and technical naming conventions. Machine learning is having a dramatic impact on the way software is designed so that it can keep pace with business change. Machine learning is so dramatic because it helps you use data to rules and logic. How is this different? With software development models, programmers wrote logic based on the current state of the business and then added relevant data. However, business change has become the norm. It is virtually impossible to anticipate what changes will transform a market. sources of data. Pre-build drive business more meaningful traditional 3. Data Enrichment Various data enrichment options are available to create golden data set that creates the required business object data. 4. Pattern Recognition Process Real-Time Events Analytic Computations Of Streaming Data. Different patterns in the data can be detected at real time to send alerts or action before, during or after processing the data. Drive Business Rules & Logic Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithms ingest training data, it is then possible to produce more precise models based on that data. A machine- learning model is the output generated when you train your machine-learning algorithm with data. After training, when you provide a model with an input, you will be given an output. For example, a predictive algorithm will create a predictive model. Then, when you provide the predictive model with data, you will receive a prediction based on the data that trained the model. 5. Data Visualization Utilize modern data visualization methods to present the data. Various reports can be built with inbuilt visualization engine that provides the ability to build reports by drag and drop. Data Processing Machine Learning Use Cases ▪ Fleet Management ▪ IoT Solution ▪ Stock analysis and alerts ▪ Fraud detection ▪ End to End System Monitoring Learn more: https://pragmaedge.com/stream-analytics/ 10201 Centurion Pkwy N.Suite 501 | Jacksonville, FL - 32236 | Phone: +1 848-999-9090 | Email: sales@pragmaedge.com | www.pragmaedge.com

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