The Five Most Key Takeaways from This Blog
- Prithvi-weather-climate is a weather-predicting A.I. platform that creates weather tracking and forecasts. IBM and NASA collaborated to create Prithvi-weather-climate.
- This A.I. project will be openly available thanks to NASA’s open science commitment.
- Thanks to access to NASA’s repository of data related to Earth’s atmosphere, it is thought that this could be among the best weather forecasting platforms in the world.
- The open availability could make it a great tool for business owners of all sizes that rely on accurate weather predictions in their operations.
- The model can cover both global and regional weather phenomena, which makes it useful for businesses that are worldwide enterprise-level as well as hyper-local mom-and-pop shops.
There Is a Storm A-brewin’…
…and it can be detected quickly and with much accuracy thanks to Prithvi-weather-climate, a recently announced A.I. weather tracker and forecaster that is the fruit of a collaboration between IBM Research and NASA.
Prithvi, in case you are wondering, is the Sanskrit word for the earth, which makes it an apt name for an A.I. platform that revolves around the happenings in the earth’s atmosphere.
This A.I. model is built on much data, some of which comes from NASA’s Modern-Era Retrospective analysis for Research and Applications, which has 40 years’ worth of climate and weather data.
The result, then, is likely to be one of the most powerful and accurate weather prediction platforms on the planet Earth.
Now of course, everyone indeed knows that weather is pretty hard to predict. After all, you can just ask any TV weather reporter to show you a collection of angry letters and direct messages about that time someone planned a picnic or whatever on a day the meteorologist claimed would be sunny, and instead brought rain.
But still, just because something is considerably difficult to predict does not mean that it is impossible to predict. If it was truly unpredictable, then NASA and IBM Research likely would not have bothered pouring resources into this project.
Yet pour resources into a weather-predicting A.I. platform these organizations did, and the result is A.I. that many users, especially the business owners among them, may be able to benefit greatly from.
Business Owners and Weather Prediction A.I.
Despite the number of businesses that are run out of offices where typically the biggest weather worry is whether a recent storm will make the Wi-Fi go down or just spotty, there are still plenty of businesses that rely on good weather for work to go well.
Think of manual labor companies that work on outdoor construction, landscaping, and other like projects.
Or manufacturers or transport companies that wish to safely transport cargo in fair weather conditions.
Whatever the industry a business may be in, if outdoor weather has a significant impact on a day’s profits, then this technology is relevant to that business.
We go over specific potential use cases for this technology below, considering the uses for regional weather forecasting as well as larger-scale natural disaster predictions.
Regional Weather Forecasts
A construction company owner can get a good head start on preparing for a project by referring to weather-predicting A.I.s for a certain time period.
That can be a good way for building out a realistic schedule that mitigates weather-related risks.
This can end up saving such a company from having a full crew show up to a job, and have to send them home after a relentless thunderstorm.
Additionally, pinpointing certain weather events in regions can help the transportation industry identify the best routes for certain time-frames. Severe winds and weather storms can be a liability for many truckers, no matter how well-secured the cargo.
Natural Disaster Prediction
Here is another area that businesses are likely to benefit from.
Being able to get credible forecasts for potential natural disasters from the Prithvi-weather-climate can be a great resource for preparing for any potentially damaging acts of God that may strike a business’ region or regions of interest or operation.
An example here would be when a business is shopping around for where to source raw materials.
If there is a supplier that is attractive to the business, yet may have potential risks for natural disasters, then it may be the case that A.I. can identify this risk of partnering with the supplier, encouraging the business to perhaps search elsewhere.
And of course, preparing for any potential natural disaster that could directly impact the business is another one. Even if it is just an office floor that relies on Wi-Fi, preparing for a tornado can be a crucial business decision during a critical weather event.
Overall, it will be interesting to see how many uses that business owners can find for this weather forecasting and tracking platform.
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