PSP: The Value of Exploiting AI on IBM zSystems
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SHARE Dallas 2022
In today’s digital economy, data offers tremendous opportunities for harvesting value. Yet extracting insight from real-time enterprise transactions can present an elusive goal. Running deep learning models on high volume transactional data is difficult to attain with off-platform based inference solutions, as latency, variability, and security concerns can make them impractical in response-time sensitive applications.
Join Kenny Stine, IBM Z Technical Specialist, in this session to hear how IBM is addressing this challenge through recent innovations in system and microprocessor design. Organizations who want help in preventing fraud in real-time or other use cases will welcome these new IBM Z innovations designed to deliver in-transaction inference in real-time and at scale.
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