24 - 27 March, 2020
Manila, Philippines
Kanishka Sinha, Digitalization Director at Ingram Micro Philippines

Kanishka Sinha

Digitalization Director
Ingram Micro Philippines

Check out the incredible speaker line-up to see who will be joining Kanishka Kumar.

Download The Latest Agenda

Conference Day One – Wednesday 25 March 2020

Wednesday, March 25th, 2020

12:20 PM Case Study: How to Build a Robust and Sustainable RPA Center of Excellence (CoE)

·         Evaluating and optimizing processes to accelerate CoE implementation
·         Developing your roadmap towards a sustainable organization-wide RPA implementation
·         Fulfilling critical roles in the CoE to ensure consistent growth in productivity and performance

Pre-Conference Workshops – Tuesday 24 March 2020

Tuesday, March 24th, 2020

1:00 PM Workshop B: RPA Process Redesign and Streamlining for Improved Business Performance

Without understanding your organization’s processes clearly and choosing the right ones to automate, successful business transformation will never be achieved with automation alone. This workshop takes a closer look at how organizations can improve business efficiency through process redesign and streamlining prior to RPA implementation. You will get to review your own work area and come up with a streamlined process, which would result in a shorter turnaround time, better processing accuracy and enhanced customer experience.
Learning Outcomes:
  • Assessing your existing processes and specifying desired process outcomes based on complexity, applications involved, technology and geographical locations of process owners across various business functions
  • Identifying opportunities in areas where RPA can be optimally applied
  • Redesigning steps, roles, forms, business rules, and data models to optimize the features and capabilities of RPA
  • Reengineering your core processes to simplify, optimize and reduce process waste
  • Uncovering potential failure modes of the process and developing suitable mitigation plans to improve process robustness