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.
- 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%
Tribe Lead of Data & Automation