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Demystifying AI: AI Explainability with Machine Learning for Z, Use Cases and Demo [2373]
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Thu October 31, 2024 01:10 PM
Sophia Antar
Machine Learning on z leverages IBM's advanced AI capabilities within Mainframe environments, enabling organizations to develop, deploy, and manage machine learning models directly on z/OS. Accenture has leveraged MLz to bring on our own models and run it on zOS. This empowers enterprises to derive actionable insights from their Mainframe data while leveraging the security, reliability, and scalability benefits of z/OS. As part the session will show demo of custom models bought and run on IBM z with help of MLz. The use cases include Co-location benefits : Bring ML closer to data and apps resulting in improved SLAs and Bring in existing models already running outside on Z, saving time, effort in building something new on Z.
Activity Type:
Technology Breakout
Tech Tracks:
IBM Z & LinuxONE
Session Topic:
IBM Z Enterprise AI
Industry:
Banking
Technical Level:
Intermediate Level
Vikas Pujar, Mainframe Modernization SME, Accenture
Vineet Dumir, AI Solution Architect, IBM
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