Core Argument - The argument against the notion that AI will replace enterprise software is refuted, emphasizing that AI cannot fully replicate the complex functionalities required in enterprise environments [1]. Group 1: AI and Enterprise Software - AI is not positioned to replace enterprise software, as the integration with major hyperscalers is essential for providing comprehensive solutions [1]. - The complexity of enterprise AI is highlighted, indicating that it requires more than just consumer AI capabilities, particularly in managing regulatory processes and legacy systems [3]. - There is a significant frustration with existing systems of record, which struggle to integrate AI effectively due to their siloed nature [4]. Group 2: Security and Operations - The company manages security operations and assets, enhancing both employee and customer experiences through its platform [2]. - The platform allows innovators to perform job coding using natural language, streamlining operations without the need for traditional keyboard input [3]. Group 3: AI Integration - The company emphasizes that AI is a cross-functional endeavor, necessitating collaboration across various functions to be effective [5].

The innovative approach will now be rolled out across the bank to streamline AI model development and deployment, driving efficiency and innovation across UBS, and ensuring that AI-driven solutions are readily available to meet business needs. It is expected to help to accelerate UBS's broader AI strategy by strategically further embedding a risk-based approach to model development. "At UBS, we're making bold choices to ensure we're an AI-enabled institution – leveraging cutting-edge technologies to deliver ...