Description: Risk mitigation strategies are essential, but they can sometimes create new vulnerabilities. In this webinar, designed for internal audit and risk management professionals, explore how to identify and address...
Event description Join Grant Thornton’s Audit Quality and Risk for our quarterly webcast series that will bring you up to date on what you need to know for financial reporting...
When the federal government ends a contract for convenience, it can leave contractors navigating complex rules and uncertain financial impacts. This webinar will explore what termination for convenience means, how...
Webcast overview We are pleased to invite you to our upcoming KPMG Quarterly Bank Update webcast, scheduled for June 25, from 2:00 – 3:00 PM ET. This session is designed...
IRS Stakeholder Liaison is an IRS Return Preparer Office Approved CE Provider for Enrolled Agents and Other Tax Return Preparers with valid PTINs and is not NASBA or MCLE accredited. CPAs, attorneys...
Join us for an insightful webinar where we explore how Solver can propel financial planning and analysis (FP&A) for Microsoft Dynamics 365 Business Central. This session will showcase the integration...
Webcast overview As we navigate a dynamic 2025, internal audit teams must stay ahead of the curve by leveraging the latest technological advancements and adapting to the dynamic sociopolitical environment....
Webcast overview Join us for the next KPMG Board Leadership Center quarterly webcast as we discuss trends from the 2025 proxy season. Topics to be discussed include: Activist investors and...
The mid-point of 2025 finds the global economy navigating a volatile mix of macroeconomic headwinds and structural shifts. Momentum has remained generally stable, but growth trajectories are diverging sharply across...
Event description As privacy expectations grow and regulations tighten, organizations face a critical challenge: delivering personalized experiences without compromising customer trust. Consumers now expect both tailored marketing and rigorous data...
