October 2 Agentic AI and AI-Generated Content

Join AWS, Microsoft, Google, BMC Helix, Trellix and Impetus for this technical and highly relevant webinar, focused on the biggest drivers of AI adoption in the enterprise:

Agentic AI: Creation, Usage, Management of Digital Employees/Agents

AI-Generated Content: Videos, Images, Voice, Podcasts, Programming/Code, Reports, Slides

Angelbeat provides a unique opportunity to directly interact with, and ask questions to, AI/Cloud/Application experts from the world’s leading organizations, in one focused program.

Use your Angelbeat account - created on the secure Memberspace platform - to register to attend this webinar, hosted on Zoom, by clicking the green REGISTER 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.

The speakers are listed below. Click on the name to view their Linkedin profile. CPE credit hours are provided.

The webinar starts at 1 pm ET and continues until 3 pm ET, for two hours.

Raj Nagamangalam, Customer Engineer - Data & AI, Google

Raj will cover these two important topics:

  1. Agentic AI: building agents with low-code/no-code for business users using Google Agentspace and using ADK for advanced use cases and deploying them securely across the Enterprises.

  2. Multimedia models: Google has state of the art multimedia-models developed by Google Deepmind and available to both Enterprises and consumers. How to leverage them at scale for different use cases and deploy them securely.

Ganesh Thiyagarajan, Senior Solutions Architect, AWS

Ganesh will provide an extremely valuable overview, demonstration and use cases around Amazon Nova, and its Content Creation/Speech Generation Models summarized below:

  1. Amazon Canvas: Image Generation Model

    • Natural language to high-quality image generation

    • Text-prompted image editing

    • Image conditioning techniques

    • Watermarking capabilities

    • Content moderation features

  2. Amazon Reel: Video Generation Model

    • Text-to-video generation

    • Image-to-video conversion

    • Motion control functionalities

  3. Amazon Nova Sonic: Speech Generation Model

    • Speech-to-speech capabilities

    • Speech generation

    • Speech understanding features

Zachary Krider, Director Strategy & AI, Trellix

From Manual to Automated: How Trellix Leveraged AWS Bedrock Agents for Development Acceleration

This session explores Trellix's transformative journey from manual, time-intensive engineering processes to intelligent, agent-driven automation using AWS Bedrock. Dive into how Trellix used agents and MCP servers in engineering to automate tasks and accelerate product development, achieving a 40% reduction in manual engineering overhead while improving code quality and deployment reliability. Through real-world case studies and live demonstrations, attendees will learn practical implementation strategies, architectural patterns, and lessons learned from scaling agent-based automation across multiple product teams.

Ganesh Anirudh Panthula- Data Scientist- Machine Learning & Generative, Impetus

Beyond RAG: Expanding Your GenAI Footprint with Agentic AI

Learn how enterprises can move beyond traditional RAG (retrieval-augmented generation) to Agentic AI—intelligent systems that integrate retrieval with memory, feedback, guardrails, and orchestration to deliver business-ready outcomes.

In this session, through a real-world case study from the financial sector, you’ll see how these advanced capabilities transformed a simple documentation assistant into a secure, adaptive enterprise chatbot trusted by users across the organization.

Session takeaways:

  • Understand how Agentic AI extends RAG to address compliance, trust, and adoption challenges

  • Learn how memory, guardrails, and orchestration enable safer, more personalized user experiences

  • Explore how Agentic AI drives measurable ROI by improving speed, accuracy, and user productivity