BuildingWithAI #5 Responsible at Scale: Operationalizing AI Governance Across the Enterprise...
Responsible at Scale: Operationalizing AI Governance Across the Enterprise
RSVP NowWhat's This Meetup All About?
The #BuildingWithAI Meetup Group, in collaboration with Google for Developers, is all set for the third edition of their meet-up on May 31, 2025. This is a hands-on workshop, which is sponsored by Covasant Technologies.
This edition will spotlight essential areas in developing real-world AI systems:
Understanding LLM Observability, Bias, Drift Monitoring, and Remediation
Build a Travel Agent Using MCP Toolbox for Databases, ADK using Firebase Studio
Featured Speakers
Reddy Raja
Chief Technology Officer, Covasant
Subhendu Pattnaik
Chief Marketing Officer, Covasant
Ashutosh S. Bhakare
Google Developer Expert
Event Agenda
Saturday, May 31, 2025
2:45 PM – 3:15 PM
Registration and Networking
Welcome and check-in, with an opportunity to connect with fellow attendees.
3:15 PM – 3:30 PM
Participants Introduction
Brief introductions to get to know the attendees and their areas of interest.
3:30 PM – 4:00 PM
Understanding LLM Observability, Bias, Drift Monitoring, and Remediation
A technical talk by ReddyRaja Annareddy on monitoring large language models and ensuring their reliability and fairness.
4:00 PM – 4:50 PM
Google for Developers Hands-on Session
An interactive session focused on practical tools and techniques from Google for building GenAI solutions.
4:50 PM – 5:15 PM
Networking
Informal networking to recharge and share insights.
5:15 PM – 5:30 PM
Demo Showcase or Presentation by Audience Member
Get a practical walkthrough of using MCP Toolbox for databases and ADK.
5:30 PM – 6:00 PM
Vote of Thanks and Conclusion
Closing remarks and appreciation for speakers, participants, and organizers.
Key Sessions
Session 1
Understanding LLM Observability, Bias, Drift Monitoring, and Remediation
Transform LLMs from experimental tools into robust, production-grade AI systems. Attend the session to know more about:
- How observability enables reliable production systems. Without observability and monitoring, you are flying blind.
- How fairness builds user trust. Ensuring fairness and consistency are crucial for public-facing apps.
- How drift monitoring speeds up iteration. Identifying issues early makes development faster and less risky.
- How remediation strategies will help with product decisions, personalization, and ROI
Gain insights into tools and best practices to ensure your models stay reliable and aligned over time.
Session 2
Build a Travel Agent Using MCP Toolbox for Databases, ADK using Firebase Studio
Get a practical walkthrough of using MCP Toolbox for databases and ADK.
Important Note:
- Attendees are requested to bring their laptops for the live workshop. They will receive Google Cloud credits to use during the session.
Who Should Attend?
AI/ML Practitioners and Engineers
Professionals developing and deploying machine learning models and AI systems across various domains.
Founders and product teams building GenAI applications
Innovators creating next-generation AI products using generative technologies like LLMs and diffusion models.
Researchers and enthusiasts exploring agentic AI and LLM governance
Individuals investigating autonomous AI agents and the responsible development and oversight of large language models.
