Government agencies and the energy industry around the world are constantly looking out for ways to address the drastic rise in climate change so that we are not leading further to our man-made mishaps – extreme weather events, droughts, storms, heatwaves, rising sea levels – you name it.
However, addressing this issue is very challenging as there are plenty of data to work with and very little collaboration between different types of organization to make effective, tailored policies for different geographical regions.
So, how can we address climate change better with data and cloud?
About Climate Change: Climate change has always happened throughout history. Most of them are caused by small variations in the Earth’s orbit that changing the amount of solar energy our planet receives. The current trend is very different because it is more likely to be the result of human activity since the mid-20th century and proceeding at a rate that is unprecedented over millennia. It is the heat-trapping qualities of carbon and other gases that are shaping the trend for climate change happening now.
Organizations that revolve around energy and power have always been having problems making sense of data – data on forests, oceans, water, weather, fish – any data that can suggest sustainable ways on how natural resources are used to craft tailored policies. For a consolidated view of the problem in a particular geographical region, we need two capabilities: One that can integrate different types of data, another that can provide participation from different organizations. The former helps to understand the problem, the latter helps with various interpretations and discussions that will improve the former.
With a platform where data collaboration and integration can take place, government agencies and related organizations can now look at for example, forthcoming cloud cover so that how much solar-generated electricity can be provided on a given day, and make local policies by looking at harmful emissions, fish data and weather reports.
Although the term ‘data democratization’ is widely referred to the corporate, we can also think of data democratization for governing bodies and organizations that are established for climate change efforts. To know more about data democratization, we have an article for that here.
Atlas is an example platform that allows the integration between multiple sources of data that can allow for real-time data exchange and utilization for different organizations. Atlas can integrate different data sources and provides access to different decision makers to achieve data democracy.
Businesses are facing more pressure to solve large socioeconomic challenges and shift toward more responsible and sustainable practices while boosting profitability. According to studies, more than half of CEOs mentioned that they are developing low-carbon and renewable energy across their operations today.
Cloud migrations is helping to reduce the amount of carbon emissions, and is expected to potentially prevent more than 1 billion metric tons of carbon within the next four years, according to a forecast from International Data Corp.
How does migrating to the cloud help reduce carbon emissions?
Cloud reduces energy usage – Powering an on-site data center requires a lot and constant power supply, and a cooling system to avoid overhearing. With cloud computing, the energy use can drop by more than 50%, reflecting to more savings to organizations.
Cloud reduces Greenhouse Gas (GHG) emissions – Cloud computing cuts the amount of GHG that are emitted from traditional data centers, as it requires lesser energy requirements and consumption.
Cloud promotes dematerialization – Migrating to the cloud means that you use fewer machines and hardware that contributes to using less energy and have a lower impact on the environment.
At Envyi by InfinitiLab, we constantly advocate for harnessing the power of data, with our first milestone, meet Atlas. Atlas provides the Single Source of Truth (SSOT) platform, organize and categorize your data through our proprietary data abstraction layer. The interface provides a simple yet faster way for you to search, and use data to its full potential.