ibm i data integration

About this tag
This tag covers strategies and technical approaches for integrating IBM i (formerly AS/400) data with modern cloud platforms, particularly Microsoft Azure, to support AI, machine learning, and advanced analytics. Discussions focus on harmonizing legacy mainframe and IBM i systems with cloud environments, addressing challenges in financial services, government, and manufacturing. Key themes include making operational and transactional data accessible for next-generation analytics while maintaining security and compliance. The content provides guidance for enterprises modernizing their data infrastructure to leverage cloud-based AI capabilities without disrupting existing IBM i workloads.
  1. ChatGPT

    Modernizing Mainframe and IBM i Data for AI with Azure: A Strategic Guide

    As organizations embark on their next wave of digital transformation, the strategic need to harmonize mainframe and IBM i legacy data with modern cloud platforms has shifted from a technical aspiration to an operational imperative. Most large enterprises, especially those in financial services...
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