
AI in Action: How Machine Learning and AI are Reshaping the FP&A Function
This session explores how AI and machine learning are changing financial planning. Discover how these technologies can help your team achieve better outcomes and agility.
Format
Event
Location
Virtual
Product Number
UKEVENT_41224
If financial planning used to be difficult, it feels nearly impossible in today’s volatile business landscape. Antiquated budget cycles no longer make sense when the market shifts before an annual plan’s first draft is completed.
In this session, we will explore how AI and machine learning are contributing to this transformation, both as a driver for the changes and a tool for preparing for the unpredictable. Discover how financial teams who have integrated AI and machine learning are achieving better outcomes and embracing agility.
Sponsor
Speakers
Kelsea Vaughan
Product Marketing Manager, Workday
Kelsea supports the EMEA go-to-market strategy for Workday Adaptive Planning. With over 10 years of cross-sector experience in revenue operations and financial planning, she has held leadership roles with public and private technology companies, local government and international NGOs. She is an MBA graduate from Trinity College Dublin’s School of Business.
Indie Dhedli
EMEA Finance Director, Workday
Indie is an accomplished finance leader with over 20 years of experience in the EMEA region, holding pivotal roles at prominent US technology companies such as Workday, Dell/EMC, Citrix, and Verifone. Currently, she serves as the Finance Director for EMEA at Workday, where she collaborates with the executive team on strategic initiatives to drive growth and ensures continuous improvement through measurable KPIs.
Indie thrives on tackling new challenges and advancing through organisations, consistently redefining operational procedures to enhance P&L outcomes. Her expertise spans financial planning, risk management, revenue growth strategy, and post-acquisition financial integration.
Group ordering for your team
2 to 5 registrants
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