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Future-Proofing Financial Leadership: Planning For The Unknown
Overview
Finance leaders are navigating one of the most volatile markets in decades. Geopolitical conflict, regulatory changes, economic fragmentation, shifting investor expectations and disrupted supply chains are all undermining traditional forecasting methods. Navigating this turbulent business landscape requires chief financial officers and finance teams to lead with insight-driven, real-time planning and forecasting—and to make quick decisions. The strategy of trying to increase growth and profitability by adopting artificial intelligence (AI) technology to reduce costs, is looking increasingly appealing.
Nearly 30% of finance departments are already using AI in forecasting. This use of AI and data analytics is supporting finance leaders to identify trends and patterns, enhance scenario-based planning, detect fraudulent activities and simplify regulatory compliance, all of which are contributing to more efficient growth and profitability.
Some legacy systems are fit for particular business needs. Yet others may limit the agility of finance teams due to data silos, as well as pose a security risk. Employing AI is expensive and presents issues around data governance and bias. Many companies lack the staff trained to use AI properly and are concerned about the potential return on their investments. How can finance leaders future-proof their departments by investing in the right technologies?
Agenda
Join Economist Impact for “Future-proofing financial leadership: planning for the unknown”, sponsored by Wolters Kluwer CCH® Tagetik. This webinar will explore how finance leaders can use technology and data-driven insights to navigate financial and geopolitical headwinds, and plan for the future of their business.
Discussion points include:
- As market volatility persists, how can chief financial officers and finance leaders adapt financial and operational plans in real time?
- How can finance leaders navigate uncertainty with better planning, budgeting and forecasting?
- What are the risks of continuing to rely on legacy systems in a highly dynamic market?
- How can finance leaders overcome strategic paralysis and employ data, analytics and AI to facilitate planning and decision making? What are some of the use cases?
- What are the biggest challenges in AI implementation?
- How can businesses evaluate returns on their investments in AI and data analytics?