ISSIP Discovery Summit: AI and Automation

Call for Papers/speakers

AI is increasingly being applied in use cases involving optimization, decision support, and automation. AI-powered systems are poised not only to assist, and augment human capacity in some cases, but also carry out routine to complex tasks in other cases freeing up human time for innovative tasks. This is already starting to change the future and nature of work humans do. While robotic automation has been prevalent in manufacturing industry for decades now, a new breed of autonomous systems are making their way into various domains ranging from autonomous vehicles, drones, automatic fruit pickers, biometric-based security systems, to business process automation. In this workshop, we invite speakers from academia and industry to share their perspectives on the role of AI in driving automation and decision support. While perspectives from all industries are encouraged, special focus on use cases related to opportunities for AI in automating IT system development, management as applied to the Financial services industry is appreciated.

Suggested Themes include but are not limited to

  1. Autonomic Computing 
  2. AI-powered automation
  3. Decision Support
  4. Human-Aware AI systems

Suggested AI for Automation Topics include but are not limited to

  1. Software Modernization
  2. IT automation including IT operations management, Incident management, proactive issue resolution, event management.
  3. Software development lifecycle automation including code vulnerability analysis, software quality management, deployment change risk prediction, compliance management etc.
  4. Software delivery automation including application performance monitoring, resource and cost optimization on Cloud and non-Cloud environments
  5. Business automation including workforce management, case management, policy and compliance management, process exception handling
  6. Robotic Process Automation
  7. Intelligent Process Automation
  8. IT & Business process mining and analysis
  9. Software development lifecycle optimization for better manageability (Code analysis, deployment artifact analysis, test analysis)
  10. Digital Twins in the workplace