Mumbai is projected to continue growing strongly based on the strong profile of the local economy, digital evolution across the region, and on increasing international demand. How will local resources and governance manage growth? And how will designing and building data centers at scale help meet projected growth requirements? 

Market research has repeatedly revealed that human error is the leading cause of disruptive downtime. Despite widespread adoption of ISO standards, it has become evident that they are not sufficient to prevent these costly disruptions. As our world economies become more reliant on data centers, it is crucial that we address this challenge head on. There is a vital need for a robust, practical and comprehensive quality management framework tailored to the unique demands of data center operations. What is this framework and how does it work?

Energy and power management solution tailored for efficient data center operations. The proposed solution integrates smart monitoring, real-time analytics, and adaptive controls to dynamically balance workloads, optimize energy consumption , and enhance overall energy efficiency , leveraging intelligent algorithms and predictive modelling. The system aims to anticipate fluctuations in demand,  and strategically allocate resources, thereby contributing to cost savings and environmental sustainability in data center operations. The implementation of this comprehensive energy and power management solution represents a crucial step towards achieving high-performance, resilient, and environmentally conscious data center infrastructure.

Join Airedale for this short presentation as we proudly launch AireWall ONE­™, the new global data center cooling range designed in collaboration with data center consultants, end users and contractors.
AireWall ONE is built on a parametric design framework, with optimized coil and bespoke footprint for each project. Available with up to 12 fans and up to 650kW capacity, AireWall ONE delivers large capacity cooling for the growing Indian data center market, yet is easy to move and install. It also has sustainability at its core, with the design optimized for close approach and elevated water/air temperatures, delivering energy savings across the cooling system

As the demand for energy in data centers continues to surge, so do operational costs. This session aims to provide profound insights into the economic advantages inherent in such architectural frameworks. By delving into the intricacies of distributed hot redundant architecture, we seek to empower participants with the knowledge to identify and harness cost-saving opportunities, strategies for enhancing operational efficiency, and to enable them to make a significant impact on Total Cost of Ownership.

Connectivity is a key requirement for a data center as the services it provides are transmitted to other data centers, to business clients and to end-consumers.  Increasingly, the expectation is of lower latency, higher reliability and greater speed. How can a data center be prepared inside and out to transition from a focus on data storage and processing to best practice in connectivity as well?

What are some of the key changes in data center design, build, for out and operation that we can expect to impact the Indian market over the next decade? How will data centers face the challenges they currently face as they evolve? Which technologies will play a role in driving the change? What will be the investment requirements? What will be the resource constraints?

In today’s rapidly evolving digital landscape, the demand for efficient and sustainable datacenters has never been greater. We are constantly seeking innovative solutions to integrate IT and infrastructure seamlessly, ensuring a more sustainable and environmentally conscious future.
This event aims to shed light on the potential of generative AI in revolutionizing datacenter operations, while emphasizing the importance of sustainability in our technological advancements. This will also feature interactive discussions & networking opportunities, to connect with other like-minded individuals.

Over the next few years as digital demand increases, as 5G kicks in and densities increase also, so data center owners and operators will need to look carefully at how they are cooling and removing heat from their server racks. How far can air-based cooling play a role and how far will water and liquid based systems take up the requirement? What are the local impacts on data center design and management of such a transition? 

What role will Edge computing play in enabling India’s digital transformation? Who will drive and lead Edge adoption? What forms will the delivery architecture take and for what purposes?

You expect your data centers and the data centers you use to offer agreed standards of resilience and sustainability so why should your supply chains be any different?  The events of the past few years have thrown the importance of the ecosystem to the survival of the data center into sharp relief. What are the key steps in building and maintaining supply chains that will withstand future disruptions?

How is it possible to keep ahead of cyber threats? Or will data center management and operations always remain one step behind? How will it be possible to plan against cyber-threats rather than just waiting for them to happen?

Slowly but surely, power into data centers is moving away from reliance on fossil fuels delivered via a central grid. Generation is becoming more localized and renewable sources of energy are now moving fast up the list of priorities. How far are local data centers moving along this path and what is driving them in this direction? 

Knowing when to modernize and upgrade is a key to data center lifecycle management. Analysing how and why may also add some insight into your digital infrastructure strategy and enable more effective deployment of different options.

This panel will look at a number of the key technologies and I.T. innovations that we can expect to see coming onto the market as data centers become more automated and more reliant on analytics in order to improve efficiency and reduce error. Which will contribute most to the challenges currently faced by Indian data centers? How will they do so?