May 13 GenAI, Agentic AI, Security, Analytics, MCP, RAG
AWS, Google 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, Privacy and Analytics.
Angelbeat provides a unique opportunity to directly interact with, ask questions to, plus learn from, the the world’s leading Cloud/AI firm, 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: 9 am ET until 11
Agenda, Speakers, Topics
9:00 am ET, Event Overview, Introductory Comments, 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 here to watch Gerber’s Videoblog/Podcast the_angel_beat about Top AI Issues in 2025.
9:10 Amazon SageMaker: The Center for All Your Data, Analytics, AI Needs
John O’Donnell, Principal Solution Architect, AWS
John will explore the next generation of Amazon SageMaker, now evolving to become the comprehensive center for all your data, analytics, and AI needs. He will demonstrate how SageMaker addresses today's most pressing challenges through three key innovations:
Unified Studio development environment that brings together all your tools and resources in one place
SageMaker Lakehouse that provides a unified and open data foundation with zero-ETL capabilities
Robust Data & AI Governance features to ensure security and compliance.
9:25 Amazon Q: Transforming Business Productivity and Development with Generative AI and Agentic AI
Nick McCabe, Senior Solutions Architect, AWS
Join us for an immersive session exploring Amazon Q, AWS's powerful AI-powered assistant that's revolutionizing both business operations and software development. In this comprehensive overview and demonstration, you'll discover how Amazon Q serves as a dual-purpose solution, enhancing productivity across your organization.
Learn how business users can leverage Q to analyze data, generate insights, and streamline daily workflows, while developers can accelerate coding, troubleshoot issues, and optimize their development processes. Nick will showcase real-world, Agentic AI applications, live demonstrations, and practical use cases that highlight Q's capabilities.
9:40 Amazon Bedrock: The easiest way to build and scale generative AI applications with foundation models
Victor Feinman, Senior Solutions Architect, AWS
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, DeepSeek, Luma, Meta, Mistral AI, Stability AI, and Amazon Nova through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.
With Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using Fine-Tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources. Since Amazon Bedrock is serverless, you don't have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.
As part of this session, learn about the Model Context Protocol (MCP), an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools.
9:55 Building on Bedrock: AI Security for the Future with Amazon Bedrock and Trellix Wise
Taylor Mullins, Senior Solutions Architect, Trellix
Taylor 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.
10:15 Google Agentspace: The Search and AI Agent Hub Built for your Work
Pablo Sanchez, Customer Engineer, Google
Google Agentspace enables AI agents to securely access your most-used applications to quickly find what you need—making you faster, smarter, and more impactful at your job.
10:35 Effective Security Awareness Training (SAT) Really Does Work
Roger Grimes, Data-Driven Security Evangelist, KnowBe4
Learn how Security Awareness Training Works to Reduce Real World Attacks