Project of the Year

Project of the Year

Steven Astorino, John Mourra, Soroosh Nalchigar, Ziauddin Babar, Alexei Lapouchnian, Sebastian Carbajales, Allen Chan, John Green, Ed Lynch, Marcellus Mindel, Sep Seyedi
(Other winners: Eric Yu, Yazan Obeidi )

Research Team:
Ziauddin Babar, Soroosh Nalchigar, Ph.D. Student, University of Toronto
Alexei Lapouchnian, Post-Doc Student, University of Toronto
Professor Eric Yu, University of Toronto
John Mourra, Program Director, IBM Workflow, Digital Business Automation, IBM
Ed Lynch, VP, IBM Workflow, Digital Business Automation, IBM
Sebastian Carbajales, IBM Workflow, Digital Business Automation, IBM
John Green, Senior Development Manager, IBM Workflow - Digital Business Automation, IBM
Yazan Obeidi, Machine Learning for Business User Intelligence, IBM
Allen Chan, Distinguished Engineer, Chief Architect, Workflow, IBM

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CAS Project #1030 - Cognitive Business Operations Made Easy

This project best exemplifies the IBM Center for Advanced Studies mission, by delivering excellence in applied research, exposing IBM development teams to new and emerging technologies, and transferring results into commercial products.

The research and development team has applied conceptual modeling and requirements engineering techniques developed at the University of Toronto to make it easy to add increasingly sophisticated levels of AI-based automation to business operations. This has deepened our understanding of organizational readiness, maturity and systematic staged adoption of machine learning. The project has generated multiple patent disclosures, and a prototype to be incorporated in an existing IBM business automation offering.

Honorable Mentions:

  • 1035 - Embedded OMR
    University of New Brunswick & IBM
  • 1049 - GALO: Guided Automated Learning For Query Workload Re-optimization
    University of Ontario Institute of Technology & IBM
  • 1059 - Cyberattacks Countermeasures and Prevention
    University of Ottawa & IBM
  • 1068 - Reverse Engineering Deployment Specifications From Running Systems
    University of Victoria & IBM

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