Kallol Dutta

Tribe Lead of Data & Automation Spark NZ

Conference Day Two: Thursday, 27th February 2020

9:50 AM PANEL DISCUSSION: Developing A Robust Change Management Plan To Ensure Smooth & Swift Adoption of Intelligent Automation

RPA is gaining swift adoption as a solution to improve process efficiency and performance uplift. However, more than 40% of RPA projects fail to deliver expected benefits. This session discusses the importance of robust change management plans to align people, process and technology to manage common pitfalls and prepare for future innovation and scalability. It further highlights, that whilst Intelligent Automation offers wide-spread benefits, it introduces new risks that must be managed to truly optimise benefits.

Key Themes:
  • How to document the process of RPA and IA journey with your management and workforce
  • Planning optimal make-up of solution providers, outsourced services, and inhouse capabilities for your automation strategy
  • Develop an overarching governance and workflow structure to manage the new complexity and risks of emerging technology
  • Measuring progress of automated systems and its effects on cost reduction, workforce efficiency and risk mitigation to drive informed decisions around improvement to existing automation practices

12:00 PM Spark NZ Case Study: Using Machine Learning and Predictive Analytics to Improve Customer Experience and Retention Rates

As companies aim to secure growth in the hyper-competitive landscape, they increasingly leverage automation to drive workforce efficiency and faster, more accurate operations. However, prioritising and coordinating intelligent automation practices are crucial to achieve effective and scalable outcomes. In this session, Kallol shares deep insights in leading Spark’s Automation strategy and identifying profitable opportunities to become a truly data and digitally led organisation. Specifically, he shares lessons learned from developing Spark’s robust framework, which is supporting an agile and coordinated approach to maturing the Intelligent Automation practice.

Key Themes:
  • Developing robust roadmaps to enable agile and timely improvement and coordinate interdependencies to drive scalable outcomes
  • Capturing data and insights to improve decision making outcomes and prioritise profitable use cases
  • Using AI and ML supported Customer Intelligence strategy to deliver more value and improve customer retention by 30-40%

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

Download The Latest Agenda