June 3 GenAI, Agentic AI, Security, Analytics: Financial Services
AWS, Microsoft, Trellix and Tactical Edge discuss Generative AI, Agentic AI, RAG Data Architecture, MCP Model Context Protocol for Compatibility across Different Platforms/LLM’s, Fine Tuning vs Prompt Engineering and more, plus CyberSecurity, Data Privacy and Analytics, specifically for Financial Services.
Angelbeat provides a unique opportunity to directly interact with, ask questions to, plus learn from, the world’s leading Cloud/AI firms, in one focused program.
Scroll down to see the current agenda and speakers. Click on the name to view their Linkedin profile, and session title for additional information. CPE credit hours are provided.
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Agenda, Speakers, Topics
1 pm ET Event Overview, Custom AI Workshops, NIST AI Risk Management Framework (RMF)
Ron’s summarizes the day’s agenda, describes how Angelbeat can organize private/custom AI workshops for your organization, and why you should document an Artificial Intelligence Risk Management Framework, based on NIST Standards. Click on image above to watch Gerber’s Videoblog/Podcast the_angel_beat about Top AI Issues in 2025.
1:10 Driving Innovation in Financial Services through Agentic Applications
Supreet Kaur, Data & AI Solutions Architect, Financial Services Industry, Microsoft
In this session, we will explore the impact of agentic applications in the financial services industry. The session will cover introduction to agents, explaining their role and significance in modern financial services. We will then delve into various agentic patterns, highlighting their applications and benefits. Finally, we will cover the tools available for implementing these agentic solutions, providing practical insights and best practices. Join us to learn about real-world examples and best practices for implementing agentic solutions in your organization.
1:40 Building on Bedrock: AI Security for the Future with Amazon Bedrock and Trellix Wise
Jeff Meacham, Global AWS Solutions Architect, Trellix
This session will explore how combining the robust infrastructure of Amazon Bedrock with the advanced security technology of Trellix Wise create a modern, scalable solution for protecting against evolving cyber threats. Learn how this powerful combination accelerates AI adoption, enhances real-time threat intelligence, and ensures proactive defense, all while offering flexibility, scalability, and protection of your sensitive data. Through real-world examples, we'll demonstrate how Trellix Wise on Amazon Bedrock builds a secure environment that’s as reliable as Bedrock, yet as innovative as the future envisioned by the Jetsons.
2:05 Agentic AI with Amazon Bedrock Agents
Vaibhav Shah, Senior Solutions Architect, AWS
Narcisse Zekpa, Senior Solutions Architect, AWS
AI agents are rapidly becoming the next frontier in enterprise transformation, with 82% of organizations planning adoption within the next 3 years. Organizations can now build agentic applications using reasoning models to execute complex tasks with advanced decision-making capabilities, enhancing efficiency and adaptability. Vaibhav will dive into how organizations can use Amazon Bedrock Agents, a full managed framework for building and deploying sophisticated AI agents. It leverages the reasoning capabilities of Foundation Models to break down user requests, then securely connects to your APIs and data sources.
Wesleigh Roeca: Senior Worldwide GenAI Specialist, Q Business, AWS
Balaji Iyer, CEO, Tactical Edge
Join Tactical Edge and AWS to learn how Amazon Q Business can help you quickly build a Generative AI–powered assistant that can answer questions, provide summaries, generate content, and complete tasks based on data and information in your enterprise systems, across a variety of use cases and deployment scenarios in Financial Services.
With security and privacy as central considerations, Amazon Q Business can respect existing identities, roles, and permissions and allows you to restrict sensitive topics, block keywords, and filter out inappropriate questions and answers.