Healthcare & Life Sciences March 12
Microsoft and AWS 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 Hospitals, Healthcare Providers, Medical Research Institutions, Pharmaceutical Manufacturers, Biotech, 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.
Please use your Angelbeat account - created on the secure Memberspace platform, at no charge - to signup by clicking the green REGISTRATION button. You will be able to register for future programs with one-click, plus join the Angelbeat On-Line Community, where you can download slides and watch on-demand videos, chat with attendees in between events, plus participate in interactive Ask-Me-Anything (AMA) discussions. If you already have an account, you will be asked to confirm your registration. Otherwise you are prompted to fill out a simple contact form.
TIME: 2 pm ET until 4 pm
Speakers, Topics, Agenda
2 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.
2:35 Jeff Meacham, Principal Technical Engineer, 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.
