In this episode of CFO Talk, host Steve Rosvold sits down for a fireside chat with AI expert and partner at D2A2, Tobias Zwingmann, to explore how business leaders can monetize proprietary data in the age of AI.
This edition highlights how quickly the AI landscape is accelerating across consumer platforms, enterprise tools, and workforce analytics. From major model upgrades to new regulatory-ready data controls and emerging AI-driven shopping behaviors, the developments covered here signal meaningful shifts in how organizations will operate, compete, and allocate resources.
Oftentimes, the first place to seek understanding of the financial well-being of the organization is to examine the organization’s financial statements. However, GAAP accounting, supported by General Ledger systems, is designed to capture costs at the functional/department level and although they can be structured for P&L data at a granular level (e.g., office or branch), they may not deal with indirect/overhead costs, overlap/duplication, value creation, or activity fragmentation.
In the post pandemic business landscape, the need to increase efficiency and decrease the cost of day-to-day operations have emerged as a top priority for corporate leaders around the world. Finance and accounting are no exception. CFOs and CAOs from organizations large and small are undertaking transformation initiatives and challenging their team to become faster, leaner and more scalable in the back office. Particularly when it comes to routine and recurring activities such as the month-end close, the demand is at an all-time high.
Steve describes how the three As - Analytics, Automation and AI improve decision making, create efficiencies and even grow new revenue streams.
