Financial Services March 11
Microsoft, AWS and Google subject matter experts discuss Generative AI - including LLM Model Comparisons, GenAI Cost Management, RAG Data Architecture, NIST AI Risk Management Framework, Responsible AI - plus CyberSecurity/Compliance, Ransomware, Data Analytics/Privacy and more, specifically for Financial Services Institutions, Banks, Insurance Companies, Investment Managers, Private Equity/Venture Capital, Fintech, etc.
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 full and detailed agenda, plus expert speakers. Click on their name to view their Linkedin profile, and session title for additional information. There is time for live interaction/Q&A with the speakers so have your questions ready. CPE credit hours are provided.
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TIME: 1 pm ET until 3 pm
Speakers, Topics, Agenda
1 pm ET Ron Gerber, CEO Angelbeat
Angelbeat Overview and Introductory Comments
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.
1:05 Taylor Mullins, Senior Solutions Architect, Trellix
Unlocking AI-Driven Security: Trellix Wise and Amazon Bedrock in Action
In this session, attendees will explore how the integration of Amazon Bedrock telemetry with Trellix XDR delivers unparalleled observability into AI-enabled applications. This integration offers complete visibility into the outputs of generative AI (GenAI) workloads, helping to detect suspicious activities and malicious content. Attendees will also learn how to enforce guardrails around data privacy and promote responsible AI practices, ensuring the safe deployment and management of GenAI in their environments.
1:25 Murali Sankar, Senior Solutions Architect, AWS
Amazon Q Generative AI Assistant for Accelerating Software Development and Leveraging Companies' Internal Data in Financial Services
Amazon Q is a generative AI assistant that transforms how work gets done in your organization. With specialized capabilities for software developers, business intelligence analysts, contact center employees, supply chain analysts, and anyone building with AWS, Amazon Q helps every employee get insights on their data and accelerate their tasks. Leveraging Amazon Q's advanced agentic capabilities, companies can streamline processes, get to decisions faster, and help employees be more productive.
Murali’s presentation will focus on case studies and deployment recommendations in financial services.
1:45 Madhav Sathe, Customer Engineering, Cloud & AI, Google
Grounding & Inferencing For Every Need: From Fully Managed To Build Your Own
Enterprises need to integrate Generative AI with their own data to make it truly useful. In this session, we'll explore practical solutions on Google Cloud for grounding GenAI applications with your unique enterprise data. Whether you need rapid deployment or deep customization, we'll cover the spectrum: from leveraging the fully managed Agent Space for streamlined workflows, to building bespoke tuning and inferencing on Google Kubernetes Engine (GKE) and Google Cloud infrastructure. Join us to discover how to leverage highly differentiated Google Cloud services to build scalable and efficient GenAI-powered applications.
2:05 Chris Thompson, Principal Azure AI Architect, Financial Services, Microsoft
Mitigating Risk in Generative AI Applications with Azure AI Foundry
In this session, attendees will learn techniques to mitigate risks associated with their generative AI applications. As the complexity and potential risks of these applications increase, it is crucial to address the concerns of security, risk, and compliance teams to ensure that the benefits outweigh the risks. We will explore how Azure AI Foundry can accelerate and support you in this journey. As the Financial Services industry requires special attention to risk mitigation, we will walk through deployment recommendations as well as use cases relevant to the industry.
2:25 Tom Gore, Sales Director, Arms Cyber
Financial data, including credentials, personal and financial information can be stolen, obfuscated, encrypted, ransomed, and sold on the dark web by bad actors leaving your customers and your reputation irreparably damaged. These high-rewards lead to threat actors tailoring their attacks on financial institutions with custom tailored zero day ransomware that your EDR will not catch.
Arms Cyber uses a multilayered defense-in-depth approach that combats ransomware at every stage of execution. We transform traditional defenses into a moving maze that disorients and disrupts even the most advanced attackers. From initial intrusion, through attempts at evasion, to malicious payload execution, Arms Cyber provides the defenses and next generation remediation capabilities that you need but don’t have.