Gen AI in Finance powered by Elastic: Architecture and Outcomes
Join our webinar to explore how Elastic powers intelligent, scalable GenAI solutions for the finance sector, combining deep technical insight with real-world experience. Tailored for engineers, architects, and tech leaders, this session dives into proven use cases, resilient system architectures, and actionable rollout strategies. Walk away with a clear game plan to build secure, high-impact GenAI systems with Elastic at the core.
- The core challenges in building effective GenAI applications
- How Retrieval-Augmented Generation (RAG) enhances AI performance
- Real-world banking and insurance use cases powered by Elastic
- Technical deep dive: How to build and deploy Elastic-based GenAI architecture
- Hear how Elastic is powering advanced GenAI use cases in leading financial institutions from intelligent document processing and fraud detection to customer support and regulatory compliance.
- Get clear, engineer-to-engineer guidance on building high-performance Elastic + GenAI systems with enterprise-grade observability, scalability, and trust. This session moves beyond the buzzwords to give you real strategies that work
Speakers
Naman Agrawal is a DevOps Engineer with expertise in the Elastic Stack, Kubernetes, Terraform, and AWS. He specializes in observability, infrastructure as code, and building resilient CI/CD pipelines. An advocate for intelligent search, platform engineering, and next-gen DevOps strategies that drive real-world GenAI innovations, he enables high-performance, automated systems at scale. Naman holds a B.Tech in Computer Science from Medi-Caps University.
Aziz Imgharne is a Data and Platform Engineer with deep expertise in the Elastic Stack, large-scale observability systems, and scalable GenAI infrastructure. With 4x Elastic certifications, he has built and managed clusters of over 1,000 nodes, enabling real-time search and intelligent insights across global enterprises. Passionate about combining AI with robust data platforms, Aziz creates content on modern engineering practices and mentors engineers on leveraging Elastic and cloud-native tools for production-grade GenAI applications.
Nicolas Erulin is a multilingual sales and growth professional with a strong track record in B2B tech and SaaS. At Hyperflex, he drives customer success by aligning enterprise needs with impactful tech solutions. With a background spanning IT software, digital platforms, and startup ecosystems, Nicolas is known for building lasting client relationships, leading high-impact projects, and navigating complex sales cycles. He brings a strategic, people-first approach to every engagement, helping teams unlock real business value through scalable technology.