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Explore how to automate anything, anywhere, anytime with guest Forrester Analyst Mike Gualtieri

  • 1.  Explore how to automate anything, anywhere, anytime with guest Forrester Analyst Mike Gualtieri

    Posted Thu February 18, 2021 01:54 PM
    Edited by Anand Sagar Wed February 24, 2021 03:11 PM
    Decisions are an integral part of any business. 
     
    Whether it's fraud detection in insurance, loan approvals in banking, claims processing, or product recommendations. Business rules enable businesses to create and manage the lifecycle of decisions. Employing machine learning in decision logic can help businesses make decisions with precision, targeting each touchpoint intelligently. 
      
    Join our guest speaker Harley Davis, IBM Vice President of Digital Business Automation in this on demand webinar, to hear how decision automation can help your organization by: 
    •    Empowering business users to model, author, and validate decisions 
    •    Improving business outcomes by incorporating AI into decisions 
    •    Enabling you to adapt to today's ever-changing landscape 

    Harley Davis will also present on IBM Cloud Pak for Automation, which is IBM's open, modular integrated platform that allows organizations to model, manage, and automate repeatable decisions across your enterprise using AI. In the Forrester Wave™: Digital Decisioning Platforms, Q4 2020, IBM is named a leader based upon IBM Cloud Pak for Automation and the report notes its decisions capabilities within the platform, IBM Automation Decision Services and IBM Operational Decisions Manager.

    Please share any of your questions below and you can watch the on demand recording here. 


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    Harley Davis
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  • 2.  RE: Explore how to automate anything, anywhere, anytime with guest Forrester Analyst Mike Gualtieri

    Posted Thu February 18, 2021 02:00 PM
    Hello everyone, 
    You can watch the on demand recording here and download the slides here



    Please share any of your questions here. 

    Thanks,

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    Harley Davis
    Gentilly
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