• Nov 16, 2021 from 11:00am to 12:00pm
  • Location: Eastern Time
  • Categories: Webcasts
  • Latest Activity: Nov 16, 2021

Join IBM and Eric Siegel, Ph.D. 
November 16 from 11:00 am - 12:00 pm ET

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Embedding AI models into production systems is often one of the most challenging tasks for enterprises, particularly when applications have strict service level agreements (SLAs). Organizations that are able to readily embed AI models into business and IT operational processes are more likely to drive—and benefit from—insights driven initiatives that can enrich business critical priorities such as personalizing customer interactions, processing credit authorizations and detecting fraud in real time.

Join IBM for a conversation with guest speaker Eric Siegel, Ph.D. who recently wrote an article in Machine Learning Times about the challenges and benefits of embedding AI within transactional applications. As part of the webcast, Eric will provide a brief overview of the machine learning process and discuss when deploying real-time AI insight within traditional production applications "just makes sense". Jonathan Sloan, IBM Portfolio Marketing Manager, will lead the discussion and share his insight on how mainframe technologies and attributes such as performance, resiliency, security and low latency can play a key role in implementing AI within transactional applications. By inferencing in-transaction, organizations can benefit from real-time insights to drive greater value from their transactional applications and data.


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