ESG Should Not Just Be Reported - It Should Influence How the Factory Operates.
Most ESG systems today focus on collecting data, measuring performance and generating reports. The next step is more practical: use real-time operational d...
Environment & ESG
Technology desk · Environment & ESG
19 articles in Environment & ESG
NeuralOps: Less Compute, Less Water, Better ESG
""Modern hyperscale AI data centers can consume millions of gallons of water every day for cooling, especially in hot climates.""Sebenarnya kalau kita ubah...
What if just 10% of humanity used AI built on a more efficient architecture?
Using a NeuralOps working benchmark, we estimate that computational carbon footprint could potentially be reduced from around 360 kg CO₂e to 120 kg CO₂e pe...
NeuralOps for Forest Conservation: Intelligent Monitoring with Minimal Impact
How can we monitor forests with more data, but leave a smaller technological footprint?In the development of AINNA's NeuralOps for forest research and moni...
ESG by Design: Building AI That Delivers More With Less
ESG, to me, is not just about reporting, certification, or green marketing. It starts with a much simpler question: Can we achieve the same — or better — o...
At -25°C, technology stops being a convenience. It becomes infrastructure.
My family and I have explored and hiked both Northern Pakistan and Northern China.Both are extreme environments, but Northern China remains the toughest we...
Technology Can Help Us Study Forests With Minimal Human Presence
Forests are among the most complex ecosystems to study. Many important changes happen slowly, unpredictably, or within a very short period.Temperature, hum...
Forest Intelligence: Understanding Nature Without Disturbing Nature
Forests are among the most valuable national assets. They regulate climate, store carbon, protect water resources, preserve biodiversity, and maintain ecol...
Reducing Corporate Carbon Footprint Through Responsible AI Adoption
Reducing Corporate Carbon Footprint Through Responsible AI Adoption AI adoption is growing rapidly across organisations. However, the sustainability impact...
AI consumes too much energy, water, and GPU power.
The most popular, and often the shallowest, opinion about AI is:“AI consumes too much energy, water, and GPU power.”What is even more concerning is tha...
Building Smarter AI with Lower Environmental Impact
Most organisations are adopting AI to improve productivity.But there is a challenge we rarely discuss:The more AI we use, the more computing power, energy,...
Responsible AI Starts Where ESG Often Ends
Board Meeting on ESGAll board members agreed:“We must change for a better world.”We discussed sustainability, energy efficiency, carbon reduction, resp...
AI Doesn't Have to Be Expensive. It Doesn't Have to Be Carbon Intensive Either.
One of the biggest misconceptions in AI today is that more AI automatically means a better system.It doesn't.A well-engineered platform isn't measured by h...
Responsible AI for Better ESG Systems
Projected data centre energy use may grow from 415 TWh in 2024 to 945 TWh by 2030, with estimated emissions rising from around 185 Mt CO₂ to 421 Mt CO₂...
Using LLMs purely because of hype does not benefit the world.
Using LLMs purely because of hype does not benefit the world.In fact, it can work against ESG goals, waste energy, increase unnecessary operating costs, an...
AI Must Be Sustainable by Design
Europe's heatwave is a reminder that the future of AI must be sustainable. Climate change remains the primary driver of Europe's extreme heat. At the same...
ESG is not paperwork. ESG is operational efficiency with proof.
AI can support ESG in a much more practical way.Not by adding more buzzwords.But by reducing unnecessary cloud processing, cutting repeated manual work, im...
AI Is Powerful, But At What Cost?
Everyone is talking about AI, but few are talking seriously about the electricity, water usage, carbon footprint, and environmental damage caused around la...
Bigger data centres and stronger power grids.
Why computational efficiency matters more than brute-force AI. Smart routing and detached systems can reduce AI processing by 95.6% while cutting energy consumption and…
