Responsible AI systems
AI-powered tools can play a central role to automate incident response, optimize resource allocation, and facilitate data-backed business decision making, culminating in enhanced operational efficiency and resilience. On the flipside, firms must adjust their risk management practices to keep pace with rapid technological advancements. The speed of AI development is testing the limits of existing frameworks, especially in the absence of clear standards for identifying and measuring AI-related risks.
As financial institutions increasingly rely on AI and machine learning (ML), including generative AI (gen AI), it becomes a prominent area for disruptions and potential threat to the business.
With their complex integrations and data flows across diverse infrastructures, AI systems must be resilient and free of single points of failures to ensure reliable service to customers and critical operations in financial services. A key challenge lies in understanding how AI risks differ from those of other digital technologies. Building trusted AI capabilities requires a resilient technology foundation, supported by robust infrastructure, governance, and control systems.
Traditional application support
Many organizations operate a mix of traditional and modern applications. Your technology foundation should support all of the existing applications that you intend to deploy on it.
While most financial organizations plan to modernize their traditional applications, they cannot immediately abandon these investments and must modernize iteratively over time. The ability to run in virtual machines (VMs) alongside containers allows firms to improve their operating models, and develop, manage, and deploy applications consistently across environments. Adopting a hybrid cloud foundation that can support scalability, availability, and resilience for traditional applications can ease your transition to modern, cloud-native application architectures.
Automation
IT automation is indispensable for operational resilience. Manual failover and migration processes can result in delays, errors, lost business, and regulatory repercussions. IT automation lets you handle both simple tasks and complex scenarios with less, if any, human intervention. As a result, you can respond to unexpected events faster and streamline planned deployments and migrations.
IT automation can also help you maintain compliance with security and regulatory policies and control configuration drift. Adding a flexible IT automation platform to your technology foundation lets you automate across your infrastructure and organization to improve speed, efficiency, and consistency. It can also help you operate traditional applications in a more resilient manner.