About Session
Many finance leaders are investing in AI, automation, and analytics initiatives while overlooking a more fundamental challenge: the operational cost of outdated processes and disconnected systems. Based on original research of 151 finance and operations decision-makers, this session explores where organizations are losing time, delaying decisions, limiting forecasting accuracy, and creating barriers to AI adoption.
Attendees will gain insight into the hidden costs that finance teams are absorbing every day, why many modernization efforts stall, and what leading organizations are doing differently to build a stronger foundation for growth, agility, and future innovation.
Learning Objectives:
- Recognize the hidden costs limiting finance performance. Learn how manual processes, disconnected data, reporting delays, and operational workarounds impact productivity, forecasting, and decision-making.
- Understand why modernization has become a business priority. Explore the market trends and operational challenges driving finance organizations to rethink how they support growth, visibility, and AI initiatives.
- Evaluate what it takes to become AI-ready. Identify the foundational capabilities finance teams need to support automation, forecasting, analytics, and future AI investments.
