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Bridging The Skill Divide

DataQuest

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August 2019

Dataquest T-School Conference & Awards 2019 got academicians, policy makers and industry leaders from across the country to discuss the gaps in skill training and solutions

- Dr. Archana Verma

Bridging The Skill Divide

“Dataquest T-School platform brings together academicians and industry leaders to brainstorm ideas for innovation and collaboration.”

— Pradeep Chakraborty, Editor, Dataquest, Cybermedia

“Computers began in IIT Delhi in 1975 as a student programme of 12 students in which I was included. It was a non-credits volunteers programme. That is what education needs to be – a learning and exciting experiences. It was predicted earlier that the future would be oversaturated with engineers. Now, many engineering colleges have closed down because of lack of enough candidates. Any changes that happen in any industry are good for people who understand those changes and for the new unfolding situation. When we talk about IT and digital tech, everyone is talking about the transformations happening in businesses. Industry is going to require new areas-trained people. There are newer and newer opportunities which will be created and we have to be in sync with the changes. The focus has to shift to learning. What was taught two decades ago is completely obsolete today and what is being taught today will be obsolete in 10 years. We need the ability to unlearn and relearn.”

— Pradeep Gupta, CMD, Cybermedia

WEITERE GESCHICHTEN VON DataQuest

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Engineering India's Al-First Data Centres at Hyperscale

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From copilots to colleagues: Why agentic AI is forcing enterprises to rethink control, trust, and culture

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Reclaiming Control in the AI Era: A Conversation with Kalyan Kumar, CPO, HCLSoftware

Enterprises are reassessing cloud-first strategies as AI becomes core to operations. HCLSoftware's Kalyan Kumar explains why sovereignty, choice and control now shape decisions.

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When infrastructure learns: The rise of the Al-native core

AI-native infrastructure is moving from concept to operational reality, reshaping how organisations build, govern, and scale intelligence across their digital core.

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Bridging the gap between connectivity and compute at scale

As AI scales in India, data centres are evolving into high-density, low-latency platforms that unify connectivity, compute, and sustainability at national scale.

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PUE is not a grapefruit metric, anymore

So what are the new high-hanging fruits for data centre strategists today? And are players going after them?

time to read

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February 2026

DataQuest

DataQuest

Even if Al demand fades, India need not worry - about data centres

For every megawatt (MW) of installed colocation capacity, users here generate approximately 13.2 PB of data monthly- compared to 0.3 PB for Australia and just 0.01 PB for Singapore. India's data centre growth is not dependent on one tech lever. Plus, it is phased and modular and not kneejerk. Manoj Paul explains these contours in detail.

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7 mins

February 2026

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AI infrastructure and systemic risk

What has been the biggest change in data centre industry-specially after AI workloads? Is Al-bubble a big risk for data centre infra- how much will it affect data centres if something cracks?

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1 min

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DataQuest

DataQuest

Inside the Shift to High-Density, Al-Ready Data Centres

CtrlS' Vipin Jain discusses what it truly takes to build AI-ready data centres in India, balancing high density, liquid-ready cooling, resilience, and ESG accountability.

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DataQuest

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Sustainability is now the headline, not a footnote

Sanjay Agrawal, Head Presales and CTO at Hitachi Vantara India and SAARC opines that the conversation is moving beyond headline metrics like PUE toward a broader view of how data lifecycle management and infrastructure efficiency reduce the overall environmental footprint. Let's see why and how- while also touching upon adjacent (or not-so-adjacent) factors like redundancies, availability and AI-readiness

time to read

3 mins

February 2026

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