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 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.
Use your Angelbeat account - created on the secure Memberspace platform - to register to attend this webinar, hosted on Zoom, by clicking the green REGISTRATION button. If you already have an account, you are asked to confirm your registration with one click. Otherwise you are prompted to fill out a simple contact form.
TIME: 9 am ET until 11
Agenda, Speakers, Topics
9:00 am 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 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
Cheryl Joseph, 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. Cheryl 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 What is Agentspace?
Pablo Sanchez, Customer Engineer, Google
Agentspace is an enterprise-compliant search and assistant experience powered by Google Search and Gemini Assistant technology. It allows employees to:
SEARCH: Find information across enterprise systems, get high-quality generative answers with citations from public and private web sources, and find people and experts in the organization
SUMMARIZE: Condense and summarize enterprise knowledge2
GENERATE: Create new content based on existing enterprise knowledge2
TAKE ACTIONS: Take common actions in 1P and 3P systems
USE AGENTIC WORKFLOWS: Interact with pre-configured or custom agents
Roger Grimes, Data-Driven Security Evangelist, KnowBe4
Are you tired of throwing money at cybersecurity solutions that don't move the needle? What if we told you that the most powerful weapon against cyber threats is already within your organization – your people?
Join us for an eye-opening webinar where Roger A. Grimes, Data-Driven Defense Evangelist at KnowBe4, unveils groundbreaking data from over a decade of research across 70,000+ organizations. Discover how an effective Security Awareness Training (SAT) program can dramatically reduce your human cybersecurity risk and shield your organization from real-world breaches.
In this data-driven session, you'll learn:
The shocking truth about human risk in cybersecurity – and why technology alone isn't enough
How SAT significantly decreases the likelihood of employees falling for phishing attacks
Real-world case studies showing the direct link between effective training and reduced breach risk
Key components of a successful Human Risk Management program
Actionable strategies to implement and measure the impact of your SAT initiatives
Arm yourself with the knowledge to build a human firewall that stands strong against even the most sophisticated attacks. The future of cybersecurity is human-centric – make sure you're leading the charge!
10:35 Trellix Wise in Action: Agentic AI for Smarter Investigations and Faster SecOps Response
Jeff Meacham, Senior Technical Training Instructor, Trellix
Reimagine your security operations with Trellix Wise, the AI-powered analyst transforming the way modern organizations investigate and respond to threats. Built on decades of innovation and security expertise, Trellix Wise leverages agentic AI—AI that not only acts, but decides how to act—to deliver intelligent, efficient, and scalable threat detection and response.
In this session, you'll learn how Trellix Wise:
Applies thousands of expert-level security questions to guide AI through each investigation.
Evaluates instructions and context to dynamically assemble the right tools for the job.
Accelerates time-to-response by eliminating alert fatigue and surfacing high-priority threats.
Unifies threat visibility across endpoints, networks, and cloud with generative AI and automated investigations.