Celebrate Earth Day with Brainome

Let’s open the conversation about the environmental risk of data science as we celebrate earth day

According to the Earth Day Network, we are currently in the largest period of species extinction in 60 million years. All species of mammals, birds, reptiles, amphibians, arthropods, fish, crustaceans, corals and plants have declined, in many cases, severely.

Let’s open the conversation about the environmental risk of data science as we celebrate earth day and challenge the assumption of “infinite and costless compute resources” that has driven the industry for the past decade and led to the rise of extremely large and complicated models. 

How can we reduce the environmental risk of data science? 

One path is to make the whole machine learning process more efficient – by minimizing training data as well as the compute resources needed to create and operate models.  

This is exactly what Brainome does. Our measurements based approach means no more hyper-parameter tuning, no more guessing and checking, no more open ended experiments to determine data quality. In short, Brainome believes that just because you have a lot of CPUs and GPUs at your disposal doesn’t mean you have to use them all. We replace raw compute with scientific measurements and build incredibly small models 30x faster than Google, Microsoft, and Amazon. 

Brainome tells you what data is necessary to build the best model. 

Brainome builds models faster 30x faster than competing platforms.. 

Brainome’s models are extremely compact and can predict 300x faster than competing platforms. 

Brainome’s results are repeatable and reproducible. 

Brainome’s measurements based approach enables companies to drastically reduce the carbon footprint of their data science initiatives.. 

This Earth Day, be part of the solution. Work smarter, not harder. Use measurements.

Spread the word!

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About Brainome

Brainome measures the learnability of your data. The more learnable your data is, the more accurate and general your machine learning model will be.
If you want to improve the quality of your data, you must first measure it. Brainome is the only tool that can do this.

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