Data Strategy & Governance
Address the critical importance of effective data management for financial institutions. This topic covers developing robust data strategies, implementing data governance frameworks, achieving data unification, and leveraging customer data platforms to drive informed decision-making.
Viral Moments
13
Results Speak Volumes!
Data Success Secrets!
One Home Journey!
Deep Customer Insights!
Bridge the data gap!
Common Customer View!
Videos lost in space?
Scaling Data Smart!
Never lose knowledge!
Context is King!
Data for everything!
Modernize Data, Boost AI
Integration, Data, Governance
Key Quotes
3
“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.”
“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.”
Chapters
31
Articles
3
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.
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.
