June 4 GenAI, Agentic AI, Security, Analytics: Healthcare & Life Sciences
AWS, Microsoft, Alithya and other subject matter experts 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 Healthcare and Life Sciences.
Angelbeat provides a unique opportunity to directly interact with, ask questions to, plus learn from, the world’s leading Cloud/AI firm, 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 Empowering Healthcare Payers with Intelligent Automation, Content, Process, and AI Solutions
Joshua Burke - Director of Technical Delivery and Architecture, Alithya
This session presents a focused look at how healthcare payers can transform critical operations through automation that blends content understanding, process orchestration, and AI capabilities. Joshua will showcase how Alithya’s Rapid Suite, alongside Microsoft’s Power Platform advancements and GenAI solutions, powers this change.
Key topics include:
Automation of Content-Centric Transactions (fax intake, forms, prior authorization workflows, claims audit evidence and processing)
Modernizing Workflows and Legacy Platforms (case management, RPA migration, modernization)
Enabling Smarter AI and Agentic Capabilities (assist bots, custom AI models, governance leadership)
Arun Ganesan, Senior Customer Advocacy Specialist, GenAI, AWS
Frenil Randeria, Solutions Architect, AWS
Dr. Hassan Mousaid, Principal Solutions Architect, AWS
This presentation explores the innovative integration of AWS HealthScribe and Amazon Q Business, our AWS Generative AI-powered assistant, to transform clinical documentation and patient care. We'll demonstrate how these cutting-edge technologies combine speech recognition, generative AI, and natural language processing to streamline clinician workflows, enhance communication, and provide valuable insights from patient consultations. Attendees will learn about the key features of both services (HealthScribe and Amazon Q Business), their practical applications in healthcare settings, and the potential benefits for improving patient outcomes and operational efficiency.
Role of AI in Healthcare, Overview of challenges in clinical documentation
AWS HealthScribe: Key features and capabilities, HIPAA compliance and security, Demo
Amazon Q Business: Introduction to Generative AI Assistants, Customization and Integration capabilities
Integration of AWS HealthScribe and Amazon Q Business, Architecture and Workflow, Live Demo
Use Cases and Benefits: Enhanced communication between clinicians and patients, Personalized patient care
Best Practices and Considerations: nsuring accuracy and human oversight
Conclusion and Call to Action