कोशिश गोल्ड - मुक्त
Storm In The Schools
DataQuest
|May 2019
The impact produced by AI, ML, IoT, VR etc on the education sector
Though computers and smartphones dot themselves on the list of great marvels of most recent decades, the technologies like Artificial Intelligence (AI), Machine Learning (ML) and Virtual Reality (VR) which, as being the torchbearers of recent technological advancements, have again disrupted the world. In this context, we shall explore the impact produced by these technologies on the education sector.
Before beginning, let us first acquaint ourselves with the terms of Artificial Intelligence, and Machine Learning.
A Simple Meaning of AI and ML
To begin with, Artificial Intelligence (AI), a discipline falling under Information technology, is the theory that hosts the idea of development of computer systems to the extent of performing tasks that normally require human intelligence. Speech recognition, visual perception, decision-making, translation of different languages, etc. make up the list of the jobs that such computer enabled devices of today can perform.
Similar is the definition of Machine Learning (ML), which, being an application of AI, extends the prowess of automatically learning and improving from experiences without being particularly programmed for these tasks, to the modern devices of today.
How will AI and ML influence Education?
यह कहानी DataQuest के May 2019 संस्करण से ली गई है।
हजारों चुनिंदा प्रीमियम कहानियों और 10,000 से अधिक पत्रिकाओं और समाचार पत्रों तक पहुंचने के लिए मैगज़्टर गोल्ड की सदस्यता लें।
क्या आप पहले से ही ग्राहक हैं? साइन इन करें
DataQuest से और कहानियाँ
DataQuest
Engineering India's Al-First Data Centres at Hyperscale
Rohan Sheth explains how AI and HPC are reshaping India's data centres, from density and cooling to power economics, sustainability, and hyperscale decision criteria.
4 mins
February 2026
DataQuest
From copilots to colleagues: Why agentic AI is forcing enterprises to rethink control, trust, and culture
As AI agents shift from assisting to acting, enterprises must redesign governance, data controls, and security guardrails so autonomy stays auditable, reversible, and trusted.
2 mins
February 2026
DataQuest
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.
5 mins
February 2026
DataQuest
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.
6 mins
February 2026
DataQuest
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.
4 mins
February 2026
DataQuest
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?
4 mins
February 2026
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.
7 mins
February 2026
DataQuest
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?
1 min
February 2026
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.
4 mins
February 2026
DataQuest
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
3 mins
February 2026
Translate
Change font size
