By combining AI and RPA, it becomes possible to automate tasks that were previously difficult to automate!
We will introduce the differences between "RPA" and "AI." RPA is a rule-based technology that automates business processes that have been defined according to specific rules. On the other hand, AI is a judgment-based technology that makes decisions and executes actions based on a vast amount of data. By combining AI and RPA, it becomes possible to automate tasks that were previously difficult, such as "enhancing product-specific demand forecasting accuracy" and "detecting failures in industrial machine parts" in the manufacturing industry. [Differences between RPA and AI] ■ What is RPA? - A rule-based technology that automates business processes defined according to specific rules - Handles "simple tasks" ■ What is AI? - A judgment-based technology that makes decisions and executes actions based on a vast amount of data - Handles "thinking tasks" *For more details, please refer to the PDF document or feel free to contact us.
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【RPA×AI Case Study】 <Manufacturing Industry> ■Enhancement of Demand Forecast Accuracy by Product ・RPA Function: Data extraction from the system, data aggregation, registration of forecast results in the system ・AI Function: Demand forecasting model ■Failure Detection of Industrial Machine Parts ・RPA Function: IoT data aggregation, registration of failure detection results in the system, alert notifications to factory managers ・AI Function: Failure detection model <Financial Industry> ■Automation of Loan Screening Operations ・RPA Function: Importing loan application data, registering applications in the system, registering credit judgment results, alert notifications for high-risk customers ・AI Function: Credit scoring, payment delay prediction, credit judgment *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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AI Inside is developing artificial intelligence business under the mission of "delivering AI to people and things around the world and contributing to a prosperous future society." By providing an AI platform, we aim to promote the decentralized creation of diverse and valuable AI and sharing among users, striving for a society where AI is spread throughout.
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