Artificial Intelligence, AI, can be a powerful tool to mitigate risk while accelerating technology and digital transformation initiatives. As many organizations adopt AI tools to gain an edge over their competition, many are hesitant to introduce resources that use AI. At the crux of this issue is trust in AI.
Legacy systems written in COBOL code touch every part of our lives. Within the financial industry alone, 43% of banking systems use COBOL. 80% of in person financial transactions use a system written in COBOL. 95% of ATM swipes rely on COBOL code. At the same time, due to workforce challenges, lack of institutional knowledge and system complexity limit organization’s ability to modernize their legacy systems.
Migrating a mainframe system to the cloud opens new opportunities and boosts security, resiliency, and scalability. It also presents new opportunities to optimize user experience.
GenAI, holds incredible promise for easing some of the most complex modernization challenges facing organizations utilizing legacy systems. That includes the modernization and migration of mainframe systems. Yet, regulatory and compliance hurdles remain.
Recorded live from the AWS Summit Washington, D.C., Badri Sriraman head of our in-house Innovation Center, sits down with John Gilroy and the Federal Tech Podcast to discuss artificial intelligence, cloud and the future of legacy system modernization. A core component of their conversation, accelerating modernization with AI and hyperlocal contextualization.
Mission critical systems in government, healthcare, financial, and other industries are trapped on mainframe systems waiting to take advantage of the cost savings, enhanced security, and improved resiliency of the cloud. Hindering these modernization efforts are the systems written in older languages such as COBOL. In a new case study featured on the AWS Public Sector blog, our ReDuX engineers describe how they used our AI toolkit to accelerate transformation.
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