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Fraud Prediction using Auto AI with Cloud Pak for Data

Automation and artificial intelligence (AI) technology is transforming businesses. They address challenges in areas of healthcare, technology, and more. At the same time, these technologies transform the nature of work and the workplace itself.

Value Proposition

With automation and artificial intelligence (AI), we can predict fraudulent transactions that we know can reduce monetary loss and risk mitigation. The same approach can be used for other scenarios like predicting customer churn or demand and supply forecast. Building predictive models requires time, effort, and knowledge of algorithms to create effective systems that can predict the outcome accurately. With that being said, IBM has introduced AutoAI with include in IBM Cloud Pak™ for Data, which automates all of the tasks involved in building predictive models for different requirements, which saves time and effort and aids in a faster decision-making process and can be run in public clouds and private clouds. High-level system overview:

  • IBM Watson Studio: Analyze data using RStudio, Jupyter, and Python in a configured, collaborative environment that includes IBM value-adds, such as managed Spark.
  • IBM Auto AI: The AutoAI graphical tool in Watson Studio automatically analyzes your data and generates candidate model pipelines customized for your predictive modeling problem.
  • IBM Cloud Object Storage: An IBM Cloud service that provides an unstructured cloud data store to build and deliver cost-effective apps and services with high reliability and fast speed to market.

IBM Solutions Used

IBM Data and AI, IBM Public Cloud

Solution Details

  • Country:
  • Indonesia
  • Industry:
  • Agriculture
  • Banking/FSI
  • Government
  • Manufacturing
  • Retail
  • Telecommunications
  • Transport/Logistics
  • Solution Type:
  • Data & AI

Solution Specifications

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