Archives: Agenda

• Identifying and prioritizing high-value AI use cases
• Measuring ROI across efficiency, risk reduction, and revenue growth
• Overcoming challenges in scaling AI investments for long-term impact

• Comparing capabilities and trade-offs between Large and Small Language Models
• Use cases in financial services: scale vs efficiency
• Future outlook: hybrid approaches and evolving model architectures

We explore how Retrieval-Augmented Generation (RAG) can transform quantitative research workflows by enabling accurate, context-aware answers sourced from technical documentation.

• How to build RAG pipelines to handle complex, domain-specific queries efficiently
• What are the key technical challenges, like: retrieval strategies, query handling, grounding and answer generation
• How to train and evaluate these systems
• What are the best practices and learnings for designing robust, scalable AI assistants for quant and business decision-making

From skeptic to believer: join Marius Beliunas on his real-world journey through the evolving world of AI in financial services. Discover how rigorous testing and hands-on experience with Moterra’s Business AI Suite led to breakthrough results. Walk away inspired, with practical insights on adopting secure and compliant AI in highly regulated industries.

• Follow Marius Beliunas’ transformation from AI skeptic to advocate for secure, responsible innovation
• Hear how “testing everything and believing nothing” led to real breakthroughs with Moterra’s Business AI Suite
• Explore live examples of AI boosting security, productivity, and compliance in financial services
• Leave equipped with actionable strategies for implementing Agentic AI and GenAI in regulated environments