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.
Express Computer is one of India's most respected IT media brands and has been in publication for 24 years running. We cover enterprise technology in all its flavours, including processors, storage, networking, wireless, business applications, cloud computing, analytics, green initiatives and anything that can help companies make the most of their ICT investments. Additionally, we also report on the fast emerging realm of eGovernance in India.