Cloud Transformation
Understand the journey of migrating and modernizing financial infrastructure to the cloud. This topic covers strategies for cloud migration, mainframe modernization, and digital transformation initiatives, including specific approaches like COBOL to Java conversions and leveraging AWS Cloud for foundational changes.
Viral Moments
13
Flying plane engine swap
Bridge the data gap!
Real-world modernization
Flawless code conversion
Rapid migration success
Cloud-native transformation!
Strategic platform shift!
Leverage Cloud Expertise
Monolithic architecture problems!
Program beats tech
Financial impact alert!
Modernize Data, Boost AI
Don't touch mainframes!
Key Quotes
7
“Build it into your AI not as a product feature, but as a mandate. It thinks and it self-checks and it self-diagnoses and self-corrects.”
“Unified customer understanding is far more important than isolated AI initiatives. Why? Because AI will be fueled by that shared context of your business entities.”
“If you want to shift the value equation from productivity and efficiency to really create a business value, you have to look at business transformation.”
“People often want to use AI I think is a silver bullet to fix all the problems. And I think it's really important that you understand your process that you're trying to fix first before you just put AI on top of something.”
“Pilots are great. We value them. We invest in them. We do them. But you have to accept that a pilot is a long way from moving to production at scale.”
“Modernization is a journey. This is not one-time event. You need to keep evolving the platform every day. You need to optimize performance. You need to improve the scalability. You need to strengthen the security. You need to create new features for the business and so on.”
“My question is not whether to modernize, it is how fast can you do it.”
Chapters
36
Articles
7
In an era where financial services grapple with complex, multi-cloud infrastructures, Transamerica is setting a new benchmark for efficiency and innovation. A recent presentation at AWS FSI NYC 2026 unveiled their strategic approach to optimizing grid computing and unleashing the power of agentic AI, demonstrating that the elusive trifecta of cost, speed, and quality is not only attainable but essential for future success.
In an era where customer expectations evolve at an unprecedented pace, financial services companies face immense pressure to deliver personalized, timely, and relevant interactions. Rocket, a leading financial services provider, has successfully tackled this challenge by building a robust, unified customer data platform on Amazon Web Services (AWS), transforming its approach to conversion and customer engagement.
The financial services industry is grappling with a significant challenge: translating promising AI pilots into scalable, production-ready solutions. Despite widespread experimentation, many organizations struggle to move beyond initial proofs-of-concept. This panel discussion at AWS FSI NYC 2026, featuring experts from TCS, Anthropic, and CardWorks, shed light on the core impediments and offered actionable strategies for successful AI adoption and transformation.
Fifth Third Bank, now the ninth-largest bank in the United States, is at the forefront of leveraging conversational AI to dramatically enhance customer experience and operational efficiency. By strategically adopting AWS Connect and a robust AI strategy, the bank has significantly reduced call volumes to human agents, improved self-service capabilities, and is paving the way for a future of intelligent, proactive customer interactions.
In a rapidly evolving financial landscape, Nasdaq is taking a bold leap forward, strategically operationalizing AI across its vast enterprise and critical trade lifecycle. At the recent AWS FSI NYC 2026 conference, Mark Murphy, a key figure at Nasdaq, shed light on their comprehensive approach, highlighting a 20-year journey with AWS that culminates in a sophisticated 'intelligence layer' designed to unify data and enable next-generation AI workflows.
Itaú, one of Latin America's largest private banks, has embarked on a remarkable journey to modernize its core banking services, specifically focusing on bank statements. Faced with the limitations of legacy, monolithic architecture, the bank sought to transform its customer experience by embracing cloud-native solutions and artificial intelligence. This ambitious undertaking has not only yielded significant performance improvements and cost reductions but has also paved the way for innovative features like intelligent search.
In a groundbreaking move, financial services giant Fiserv, in collaboration with HCLTech and Amazon Web Services (AWS), has dramatically accelerated its mainframe modernization journey. Leveraging AWS Transform's agentic AI capabilities, a complex, mission-critical application migration that typically takes years is now on track for completion in just 17 months, setting a new benchmark for speed and reliability in the financial industry.
Sessions
6
