AI Infrastructure for Financial Services Summit 2026
Building the AI Infrastructure Powering the Next Generation of Financial Services
Register by May 31 and save 15% on group of 3 delegates -
limited slot only, hurry up!
About Event
AI Infrastructure for Financial Services Summit 2026 is the industry forum bringing together banking technology leaders, AI infrastructure architects, cloud providers, and financial software engineers building the next generation of AI-enabled financial systems.
Financial institutions are under increasing pressure to deploy AI across risk management, fraud detection, payments, customer intelligence, and regulatory compliance. However, scaling AI in banking environments remains complex due to legacy core systems, fragmented data architecture, strict regulatory requirements, model governance challenges, and the need for highly resilient and secure infrastructure.
The summit will examine how financial institutions are designing and deploying AI infrastructure, including data pipelines, model deployment platforms, real-time analytics systems, and secure cloud architectures that support production-scale AI in regulated financial environments.
Join industry leaders to gain practical insights into building scalable AI platforms, strengthening financial system resilience, and enabling the next generation of intelligent banking infrastructure.
Conference agenda key topics
Operational and commercial drivers behind AI adoption in financial services
Examine competitive pressure, regulatory expectations, fraud risk, and demand for real-time decision systems that are pushing banks and financial institutions to invest in scalable AI infrastructure and advanced data platforms.
AI use cases across payments, risk management, and customer intelligence
Explore applications spanning fraud detection, transaction monitoring, credit risk modeling, algorithmic trading infrastructure, and personalized financial services powered by machine learning systems.
Data pipelines, model deployment, and real-time decision systems
Understand how streaming data architectures, feature stores, and model orchestration platforms enable banks to deploy AI models securely and operate them in production environments with low latency.
Integrating AI with legacy banking systems and core financial infrastructure
Examine how financial institutions modernize legacy core banking platforms and connect them with AI-driven analytics, microservices architectures, and modern cloud environments.
Automation, monitoring, and operational resilience in AI systems
Discuss how automated model monitoring, system observability, and AI governance frameworks help financial institutions maintain reliability, transparency, and operational stability in mission-critical systems.
Regulatory compliance, security, and responsible AI in financial infrastructure
Explore governance frameworks, model validation processes, explainability requirements, and security architectures needed to deploy AI systems while meeting regulatory and compliance obligations.
Benefits of attending the Conference!
Gain insights from banks, fintech platforms, and technology providers on how AI systems are being implemented across payments, fraud detection, risk modeling, and customer intelligence platforms, including lessons learned from production deployments.
Connect with CTOs, engineering leaders, AI architects, fintech founders, and cloud infrastructure providers working on the next generation of financial systems.
Hear from industry experts about ongoing banking technology transformation programs, AI platform deployment strategies, and evolving architectural approaches used to scale AI within regulated financial environments.
Hear from industry experts about ongoing banking technology transformation programs, AI platform deployment strategies, and evolving architectural approaches used to scale AI within regulated financial environments.
Key Takeways
Insight into how AI adoption is reshaping financial infrastructure, risk management, and operational decision-making
Understanding how banks integrate AI into existing core banking systems and data architectures
Perspective on current technology trends shaping AI infrastructure in financial services
Awareness of emerging innovations in automation, data engineering, and real-time decision systems
Insights from banks, fintech companies, and technology providers across global financial markets
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