Cracking the AI code: realizing AI's true value in finance (www.techradar.com)

UK finance teams are moving beyond AI experimentation, with 99% of finance leaders deeming AI essential and 85% already implementing it. This trend is expected to continue, as firms focus on harnessing AI for automation and risk mitigation while delivering deeper insights from large datasets. However, many projects face hurdles aligning with regulatory frameworks and rapidly changing economic conditions. A significant 78% of finance leaders express concerns about AI risks, underlining the importance of governance and oversight as a means to unlock the potential value of AI. AI is evolving from handling simple tasks to becoming a strategic partner in finance, aiding decision-making through real-time analytics. Success depends on balancing AI autonomy with necessary human oversight, ensuring that systems remain resilient amid regulatory shifts and geopolitical changes. As AI matures within finance organizations—currently seeing only 10% implementing AI broadly—navigating the complexities of value generation, risk management, and control becomes crucial for achieving sustainable outcomes. The path toward effective AI deployment is marked by a focus on trust and transparency, ultimately allowing finance teams to respond more adeptly to market dynamics while driving long-term resilience.