- Conference · Hosted by AWS
- We attended
NeenOpal at AWS AI Conclave 2026, Bengaluru
We joined AWS’s Agentic AI & Data edition to explore the next phase of enterprise AI: agentic systems that move organisations from experimentation to large-scale production.
About this event
Why we were there
The Conclave puts India’s AWS AI community in one room. The opening keynote brought together Ganapathy Krishnamoorthy (VP Databases, AWS) with technology leaders from Kotak Mahindra Bank, Zomato and Axis Bank; the afternoon split into four parallel tracks for technology, business, developers and customer case studies.
Agentic AI is what we build every day. As an AWS Generative and Agentic AI Competency partner, NeenOpal ships agents for workflow automation, document processing and decision support. We went to test our architecture against where AWS is taking its tooling, from Amazon Bedrock AgentCore to lakehouse patterns on Apache Iceberg.
What you’ll get
Four takeaways from the floor
What this recap gives you: the four themes we heard across the keynotes and tracks, and where they show up in our own work.
- Agents are now a production problemThe Bedrock AgentCore sessions were about deployment, observability and cost, not “can it reason”.
- Data decides who ships“Data in agentic AI” opened the technology track. Every agent story started with governed, well-described data.
- Responsible AI is a leadership topicThe business track put responsible AI and cost optimisation beside scaling, not after it.
- Indian enterprises are already in productionCase studies from Swiggy, Paytm, Freshworks and J&K Bank showed agentic and GenAI systems running at scale.
Where we apply it
Agents we have in production
- RFxIQRFQs generated in minutesEmail-to-RFQ extraction and quote generation.5x quote throughput
- AI Employee AssistantInternal questions answered 24/7HR, IT and policy questions over your own documents.Up to 60% of queries automated
How the day ran
22 January 2026- Opening keynote
AWS with the CTO of Kotak Mahindra Bank, Zomato’s VP Technology and Axis Bank’s Head of Enterprise AI.
- Technology track
Data in agentic AI, Amazon Bedrock AgentCore, SageMaker AI and frontier agents.
- Business track
Leadership on agentic AI, scaling GenAI use cases, responsible AI and cost-performance.
- Developer track
Aurora DSQL, Apache Iceberg lakehouses, LLM serving and spec-driven development.
- Data & AI built on AWS for India
Case studies from J&K Bank, Swiggy, Freshworks, Paytm, DMI Finance and more.
- Closing keynote
Biswajit Das (Head Data & AI, AWS India) with Dinesh Karthik and Hawk-Eye inventor Dr Paul Hawkins.
Continue the conversation
Case studies, blog posts and services that pick up where this event left off.
