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, AI Chipsets, Responsible AI - plus CyberSecurity/Compliance, Data Analytics/Privacy and more, specifically for Financial Services Institutions, Banks, Insurance Companies, Investment Managers, Private Equity/Venture Capital, Fintech, etc.
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 Aastha Bhardwaj, Senior Security Specialist, AWS
AWS for Financial Services: Leave your legacy. Redefine your future on AWS
AWS for Financial Services is a pioneer at the intersection of financial services and technology, enabling our customers to optimize operations and push the boundaries of innovation with the broadest set of services and partner solutions – all while maintaining security, compliance, and resilience at scale. Tens of thousands of financial services firms around the world, from the fastest- growing Fintechs to systemically important financial institutions, are redefining their future on AWS.
1:30 Madhav Sathe, Customer Engineering, Cloud & AI, Google
Detect suspicious, potential money laundering activity faster and more precisely with AI
Delight customers with an end-to-end application that combines our most advanced conversational AI, with multimodal and omnichannel functionality to deliver exceptional customer experiences at every touchpoint
Drive personalized, privacy-centric, omnichannel customer experiences and predictive marketing
Exchange and Monetize historical and real-time market datasets - securely, easily and at scale
1:55 Speaker TBD
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.
2:15 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.
2:40 Tom Gore, Sales Director, Arms Cyber
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 that you need but don’t have.