#BuildingWithAI Responsible at Scale: Operationalizing AI Governance Across the Enterprise What's...
BuildingWithAI #5
Responsible at Scale: Operationalizing AI Governance Across the Enterprise
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Saturday, November 29, 2025 | 3:00 PM – 6:00 PM
1st Floor, Gowra Palladium, HITEC City, HyderabadWhy Attend?
Join data, AI, and technology leaders for an evening dedicated to exploring how Responsible AI can be scaled across the enterprise.
This edition of Building with AI focuses on operationalizing governance, aligning AI initiatives with regulatory expectations, and creating accountability across data, models, and people.
What’s in it for you:
Learn how leading enterprises are embedding Responsible AI frameworks into their data and technology ecosystems
Understand the governance structures that drive ethical and compliant AI adoption
Hear from practitioners building scalable, auditable AI systems
Network with Hyderabad’s growing community of AI innovators, engineers, and architects
Featured Speakers
Aparna Vadlamudi
AI literacy - Content and Innovation Director, Johnson and Johnson
Vijaya Kadiyala
Executive Director – Data, AI & Cloud Engineering, DBS Bank
Subhendu Pattnaik
Chief Marketing Officer, Covasant Tecnologies
Vishnu Yalala
VP, Data & Analytics, Covasant Tecnologies
Topics Under Discussion
Saturday, November 29, 2025 | 3:00 PM – 6:00 PM
Topic 1
Setting the Context: From Responsible AI Principles to Responsible AI Practice
By: Subhendu Pattnaik
Chief Marketing Officer, Covasant Technologies
Gain a strategic overview of how enterprises can move from ethical intent to operational maturity defining measurable guardrails for trust, transparency, and compliance in AI initiatives.
Topic 2
Operationalizing Responsible AI through Cross-Functional Governance Councils and Enterprise Alignment
By: Aparna Vadlamudi
AI literacy - Content and Innovation Director, Johnson and Johnson
Explore how large organizations embed Responsible AI practices through governance councils, AI literacy, and enterprise alignment. Learn how to foster a culture that balances innovation with accountability.
Topic 3
Scaling AI Governance Through Enterprise Data Platforms
By: Vijaya Kadiyala
Head – Data, Analytics, Enterprise Architecture & Cloud, DBS Tech India
Understand how enterprise data platforms serve as the foundation for Responsible AI. Discover strategies to operationalize data governance, lineage, and compliance across complex environments.
Topic 4
Data Governance: The Bedrock of Responsible AI
By: Vishnu Yalala
VP, Data & Analytics, Covasant Technologies
Explore how strong data governance frameworks drive transparency, auditability, and compliance in enterprise AI. Understand how organizations can align their data foundations with ethical AI principles ensuring that trust, lineage, and control are embedded across every stage of the AI lifecycle.
Topics Under Discussion
Session 1
Setting the Context: From Responsible AI Principles to Responsible AI Practice
By: Subhendu Pattnaik
Chief Marketing Officer, Covasant Technologies
Gain a strategic overview of how enterprises can move from ethical intent to operational maturity defining measurable guardrails for trust, transparency, and compliance in AI initiatives.
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.
