The finance function is a cornerstone of every business, but to remain relevant in today's rapidly evolving landscape, it must be at the forefront of change. Global enterprises are grappling with unprecedented challenges, from shifting consumer behaviors and geopolitical tensions to fragile supply chains and the transformative power of AI.

The era of AI has arrived, demanding a fundamental rethinking of the finance function. To capitalize on the opportunities presented by AI, finance teams must not only address the challenges of the present but also lay the groundwork for a future-proof organization.

In this workshop, we will explore the essential elements that must be integrated into a future oriented finance function.

- FaaS (finance as a service) options

- Data, as fuel for the function and resource of the enterprise

- AI readiness

   * Operating model

   * Talent

   * Governance

   * Risk

- Analytics and reporting

- Labor and capability strategy (digital and human)

Finance must deploy a roadmap of nearly continuous transformation; not just for itself, but as a nucleus around which the enterprise can rely on in these uncertain times.

Join us as we explore the three core ingredients—people, process, and technology—that must be updated and expanded to ensure a robust and resilient finance function:

• People: Roles, skills, and talent development.
• Process: Oversight, speed, cost to serve, and metrics.
• Technology: Automation, cloud, data, and AI.

Within finance operations, data analytics stands out as a transformative force that has the capability to reshape how finance operates and strategizes. Through the careful analysis of financial data, an organization can unlock invaluable insights, spotting patterns, and uncovering avenues for enhancement. This analytical prowess empowers finance professionals to refine workflows, enhance forecasting precision, pinpoint irregularities, and manage risks effectively. Furthermore, it enables agile, responsive reporting, allowing finance teams to adapt swiftly to market fluctuations. Ultimately, embracing data analytics within finance operations holds the promise of heightened efficiency, cost reduction, and enhanced organizational and finance business decisions.

Topics of discussion will include, yet will not be limited to:

• Establishing clear objectives and goals for data analytics initiatives within finance operations. Addressing data privacy and compliance regulations to safeguard sensitive information and ensure regulatory adherence
• Dealing with the complexity of financial data and ensuring accurate interpretation and analysis for informed decision-making
• Continuously monitor and evaluate the performance of data analytics initiatives, iterating and refining strategies as needed to maximize impact
• Examining data visualization platforms, predictive analytics software, and other specialized finance data analytics tools that can offer insights and solutions for efficient finance data analysis and decision-making