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deisgn

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Published By: IBM     Published Date: May 03, 2016
Learn: - What continuous engineering is - How to continuously improve complex product designs - How to anticipate and respond to markets and clients - How to get the most out of your engineering resources
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ibm, watson, continuous engineering, product deisgn, engineering resources, continuous improvements, software development
    
IBM
Published By: Adobe     Published Date: Sep 20, 2016
Read our new white paper, Experience Design Optimization: Where Personalization Goes to Grow Up, and learn: - The experience design optimization process - How top brands are using data to design experiences that drive conversion - The four steps toward differentiating your brand with personalized experiences
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adobe, customer experience, deisgn, experience deign optimization, enterprise applications
    
Adobe
Published By: IBM     Published Date: Aug 08, 2012
IBM Analytical Decision Management revolutionizes how organizations make decisions by optimizing and automating high-volume, operational decisions at the point of impact to drive better business outcomes. In this technical white paper, learn about the architecture, deisgn and execution environments for this leading-edge technology, as well as recommendations on how to manage an implementation of this decision management solution.
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ibm, technology, optimized decision-making, analytical decision management, decision management, automation, technology, decision management solution
    
IBM
Published By: IBM     Published Date: Jan 17, 2013
Download this white paper to learn about the architecture, deisgn and execution environments for this leading-edge technology, as well as recommendations on how to manage an implementation of this decision management solution.
Tags : 
enterprise, optimized, environments, technology, implementation, decision, solition
    
IBM
Published By: IBM     Published Date: Jan 17, 2013
Download this white paper to learn about the architecture, deisgn and execution environments for this leading-edge technology, as well as recommendations on how to manage an implementation of this decision management solution.
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IBM
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