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Solve the unsolvable: Why artificial intelligent systems can solve planning problems better than humans
  • Speaker(s):
    Satish Kale (Red Hat); Geoffrey De Smet (Red Hat)
  • Session type:
    Mini session
  • Abstract:
    Human dominance over computer systems on seemingly subjective analysis is waning. The human mind can comprehend linear progression well; however, it fails spectacularly when it comes to the exponential growth of possibilities that are produced by increasing data sets for planning use cases. Typical examples are: skills-based task assignments, scheduling, risk assessments, resource allocations, etc.

    In this mini session, we'll talk about using Optaplanner, part of Red Hat Decision Manager, to help you perform these planning tasks in the most efficient way. A leading telecom operator saved US200M annually, by achieving 20%+ efficiency in their technician scheduling. Apart from cost-savings, hear how it impacted their hiring and training HR practices, improved customer satisfaction, made their workforce happy, and made this earth more green.

  • Track:
    Enterprise integration
  • Topics:
    Artificial intelligence/machine learning (AI/ML), Business automation, Business rules
  • Audience:
    Manage people, Serve in an executive (VP or higher) role
  • Includes:
    Red Hat customer implementation
  • Products:
    Red Hat Decision Manager (formerly Red Hat JBoss BRMS), Red Hat Process Automation
  • Difficulty:
    Business-focused or non-technical
  • Benefits:
    Cost savings, Efficiency