Human-in-the-Loop AI

The #BuildingWithAI Meetup Group, hosted by Covasant Technologies, is all set for its 4th edition on August 2, 2025.
This is a practitioner-focused meetup built around real-world experiences in designing AI systems that are compliant, privacy-conscious, and human-aware.

This edition will explore key aspects of building trustworthy AI systems, including:

• What enterprises expect from AI teams today
• Privacy, ethics, and governance in the age of Agentic AI
• Prompts, Probabilities & Prejudices. Why AI Still Needs the Human Touch
• Data Foundation for AI. Building Enterprise Identity for Hyper-Personalization

Topic Details

Session 1: What Enterprises Really Expect from AI Teams Today
Speaker: Kartikeya Prahlad, Senior Director – Global Inside Sales & Sales Operations, Covasant Technologies
As AI moves from prototype to production, enterprise demands are shifting fast. This session offers a grounded view of what business leaders now expect from AI teams: systems that are explainable, compliant, and built to scale responsibly.
Kartikeya draws on real buyer conversations to unpack where technical priorities and enterprise expectations meet and often diverge.
What you’ll learn:

• What stakeholders are really asking for in production AI
• How value is being measured beyond model accuracy
• Why governance, transparency, and risk alignment now matter as much as innovation

Session 2: Privacy, Ethics, and Governance in the Age of Agentic AI
Speaker: Sitaram Tadepalli, SVP – Machine Learning Engineering, DBS Tech India
As enterprises embrace Agentic AI, the challenges around control, safety, and accountability become more urgent. This session explores how governance models are being redefined to support AI systems that are autonomous but not unchecked.
Sitaram will share real practices and frameworks used to balance innovation with regulation inside one of the world’s most tech-forward banks.
What you’ll learn:

• What “privacy-first” design looks like in enterprise AI
• Techniques for embedding ethical oversight into ML pipelines
• How governance and model autonomy can (and must) coexist

Session 3: Prompts, Probabilities & Prejudices – Why AI Still Needs the Human Touch
Speaker: CV Rammohan, Chief Delivery Officer, Covasant Technologies
AI systems today can generate, predict, and automate but they still can’t reason with context like humans. This session explores the limitations of current AI models, especially in enterprise environments where accuracy, fairness, and accountability are critical.
Rammohan brings his experience overseeing large-scale AI service delivery to unpack where automation breaks, why human-in-the-loop design matters, and how bias still creeps into even the most advanced systems.
What you’ll learn:

• Where generative AI still fails without human context
• How human oversight reduces false positives and blind spots in decision-making
• Why enterprises must reimagine the “last mile” of AI with responsible design

Session 4: Data Foundation for AI – Building Enterprise Identity for Hyper-Personalization
Speaker: Subhash Konduru, Senior Technology Manager, Leading UK-based Multinational Bank
Personalized AI at enterprise scale isn’t just about smart models. It’s about smart data. This session takes a deep dive into how identity-centric data architecture enables intelligent, privacy-compliant experiences across the enterprise.
Subhash will share how large organizations are designing consent-aware, real-time data systems that power AI personalization without compromising governance or trust.

What you’ll learn:

• How enterprise identity graphs are built and applied in AI workflows
• Techniques for implementing consent-aware data pipelines
• Integration patterns that ensure privacy and compliance at scale

Who Should Join?

• AI/ML engineers and architects
• Enterprise product and platform teams
• Practitioners building compliance-ready AI applications
• Business leaders seeking clarity on what AI teams are expected to deliver in modern enterprises

Free Registration | Limited Seats
This is a focused, invite-first meetup. Early RSVPs are highly recommended.