Panelists in this video::
[•] Jestin Dhavamaniraj, Director – Data Centre Advisory, JLL (Moderator)
[•] Dheeraj K Janbandhu, Senior Group Vice President – IT, Digital Business & Innovation, Indian Bank
[•] Ashok Mohanty, Head of Information Technology, IDBI Intech Ltd.
[•] Amit Ray, CIO Advisory and Customer Success, Jio Cloud
[•] Dr. Madhav Bhole, CIO, Fleetguard Filters Pvt. Ltd.
[•] Natish Chauhan, Head Infrastructure and InfoSec, Apollo Hospital
[•] Linson Paul, Chief Technology Officer, Muthoot Microfin
[•] Gangadhar Yasam, Head – IT Infrastructure, Data Center Engineering & Strategy, APAC & MEA, Ford Motor Company
Key Highlights:
[1] Dr. Madhav Bhole, CIO, Fleetguard Filters Pvt. Ltd.:
+ As organisations graduate from experimental AI to AI-native, the infrastructure has to scale with them—with the right governance, moving from GPU-enabled POC environments to cloud and hybrid setups.
[2] Ashok Mohanty, Head of Information Technology, IDBI Intech Ltd.:
+ AI adoption starts with infrastructure. Before we implement AI across banking, we need to modernise and prepare our infrastructure to support it.
[3] Dheeraj K Janbandhu, Senior Group Vice President – IT, Digital Business & Innovation, Indian Bank:
+ AI-native infrastructure is not about buying one component and being done. It requires an entire ecosystem spanning compute, cloud, connectivity, skills and risk management.
[4] Amit Ray, CIO Advisory and Customer Success, JioCloud:
+ We normally take the use case from the business process and then work on it. Once we see value and positive results, we scale it further into large-scale compute, storage and network infrastructure.
[5] Gangadhar Yasam, Head – IT Infrastructure, Data Center Engineering & Strategy, APAC & MEA, Ford Motor Company:
+ Unless AI is linked to business KPIs such as revenue and cycle time, it will always remain an experiment rather than becoming a core competency.
[6] Natish Chauhan, Head Infrastructure and InfoSec, Apollo Hospital:
+ The real challenge is not just scalability; it is how organisations will sustain AI adoption over the long term when we cannot predict what technology will look like three years from now.
[7] Jestin Dhavamaniraj, Director – Data Centre Advisory, JLL:
+ As AI adoption grows, infrastructure must become more flexible — from computing power and bandwidth to the way data is managed and scaled.
[8] Linson Paul, Chief Technology Officer, Muthoot Microfin:
+ Security, resilience and observability cannot be added after an AI model is built. They have to be designed into the infrastructure alongside the model from day one.