[LIVE Online Event] Watson Studio - Five advances in model deployment and explainable AI

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When:  Apr 21, 2021 from 07:00 AM to 08:00 AM (PT)
Join us by registering here  LINK

Industry leaders are bringing more AI models into production and driving business value.  IBM has put some of the cutting-edge AI innovations into IBM Watson Studio on IBM Cloud Pak for Data so that you can simplify the AI lifecycles and speed time to address your AI use cases. To operationalize AI successfully, you need to unite tools, people and processes, manage end-to-end data and AI services and demonstrate responsible, governed use of AI.  As a leader in the operationalization use case, IBM can partner and share with you the best practices of building successful AI engineering with DevOps, ModelOps and DataOps. In this session, you will learn the following: 
  • Build ModelOps with automated AI lifecycle and continuous integration and continuous delivery (CICD)
  • Mitigate drift, bias and model risk through explainable AI and model monitoring
  • Help ensure model scalability, resiliency and governance 
  • Support virtually any AI models including machine learning, deep learning, and decision optimization
  • Deploy integrated AI services in an open, extensible multicloud data and AI platform
REGISTER  LINK
This live session will include product demonstration and Q&A as well as discussions on the future directions of IBM Watson Studio.  Register now and join us to explore exciting advances in model deployment and explainable AI you can use for production AI. 
Presenters:
Adam Massachi, Offering Manager, Watson Studio, IBM Data and AI
https://www.linkedin.com/in/adam-massachi/
adam.massachi@ibm.com
Julianna Delua, Portfolio lead, Data Science and AI, Cloud Pak for Data
https://www.linkedin.com/in/juliannadelua/

#GlobalDataScience
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Url: http://event.on24.com/wcc/r/3120347/F87009835EBCCADB48B2520DF8C1346E?partnerref=JuliannaCommunities
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