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FIRST TIME RIGHT - THE NEW MANTRA IN INSURANCE

DataQuest

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October 2022

Customisation, prediction, fraud control, contextual experiences, self-help buttons and precision insurance was never the way it looks now thanks to Al.

- Pratima H

FIRST TIME RIGHT - THE NEW MANTRA IN INSURANCE

Ganessan Soundiram, Chief Technology Officer, ICICI Prudential Life Insurance Company Limited is insuring his business not just against the competition but also the never-before spectrum of opportunities when it comes to betting on technology. Let's see what areas are actualising already in the form of new customer experiences

How is technology changing the insurance sector- from on-boarding to underwriting to management to claims processing? Is it gaining the desired levels of accuracy, simplicity and scalability?

Over the last decade, the insurance industry has gone through a significant transformation due to the digitalisation efforts undertaken by the insurers. Onboarding and servicing which were earlier characterised as iterative, with multiple handoffs and comprising of a longer TAT (Turn Around Time) have now transformed into fully digital processes. Digitalisation has brought in empowerment, transparency, ease of use and enhanced experience to both customers and employees.

Can you give any examples or plans about how has technology brought a significant change in your business?

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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February 2026

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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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February 2026

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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

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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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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?

time to read

1 min

February 2026

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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.

time to read

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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

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February 2026

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