Agentic AI Demo Day

Agentic Demo Day Overview

Speaker: Shailesh Manjrekar, CMO, Fabrix.ai

Agenda, What to Expect - Agentic AI

Analysts Perspective

Speakers:
- Andy Thurai, Industry Analyst @ The Field CTO
- Bhaskar Krishnamsetty, CPO, Fabrix.ai

• Current market perspective
• Rise of Agentic AI

Fabrix.ai's Agentic Operational Intelligence Platform & Demo

Speaker: Shailesh Manjrekar, CMO, Fabrix.ai

• Learn about Fabrix.ai Agentic Platform, where agents are deployed to showcase the use of Data Fabric, Automation Fabric and AI Fabric
• AI agent storyboard showcasing the use of all the 3 fabrics for Agent deployment, using real time data ingestion
  
  
  1. Anomaly detector agent (Metrics KPI’s)
     • Open ticket
     • Add or reduce capacity
     
     
  2. Event Intelligence agent (Alerts)
     • Correlate alerts
     • Closed loop remediation for some alerts
     • Human notification for other
     • Automation

AGNTCY Open Source Collective from Cisco,
LangChain, and Galileo

Speaker: Tushar Agrawal, Sr. Director of AI

• Get an overview of the open source collective for inter-agent collaboration.
• What you can do with AGNTCY.org?
• Who should join AGNTCY.org?

• Multi-domain and Multi-agent Agentic Platform
• Google A2A & Anthropic Model Context Protocol
  (MCP) demo

Speaker: Tejo Prayaga, Sr. Director, Fabrix.ai

• Why Model context protocol over API integration for AI agents
• Demonstrate integration with MCP Server and Client with tools, resources and prompts
  1. Demo with AI Agent Studio
  2. Demo with Persona-based co-pilot

Agent Guardrails - Balancing Autonomy with Human Oversight

Speakers:
- Rohit Valia, CEO, Tumeryk
- Shailesh Manjrekar, CMO, Fabrix.ai

• Considerations for Agent and LLM Guardrails
• Bias, hallucinations, access controls, assurance (Reinforcement Learning with human feedback - RLHF)
• Demo with Tumeryk AI Trust Score™ based on NVIDIA Nemo Guardrails

Partner Ecosystem: Extending collaboration to address Agentic AI use cases

Speakers:
- Venkat Raghav, Partner, IBM Consulting
- Srinivas Miriyala, Fabrix.ai

• Demo with IBM Granite Guardian and Granite models
• ibm.com/granite/docs/models/guardian/

Closing Note