The Complete Life Cycle of Data: From Exploration to Deployment
April 15th, 2021

The purpose of this article is to summarize the predictive modeling process, from exploring the data to deploying the prediction. This includes the thought process behind various decisions during the process, be it selecting the features that could help with better pred

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Feature Analysis and Machine Learning for Road Safety
March 23rd, 2021

As a part of Omdena’s project with iRap, a vital step was to undertake a feature analysis to determine which of iRap´s 66 road features have the most impact on road safety. Team team used various statistical methods and regression models to determine feature impo

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Harnessing AI and Open Source Satellite Imagery to Address Global Problems
March 1st, 2021

Omdena successfully combines AI and ML methodologies with open source, low resolution satellite imagery to create actionable solutions for powerful insights.   Introduction Every day, millions of images are captured from space by an ever-growing number of satellite

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A Damage Assessment Solution of the Desert Locust Surge in Kenya Using AI and Satellite Imagery
February 15th, 2021

Applying Machine Learning to dynamically assess vegetation health changes before and after desert locust attacks. By Rasha Salim, Debaleena Misra, Kanmani Subramanian, Joshua Sant’Anna   In 2020, as desert locust outbreaks were raging throughout the Horn of Afri

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AI & the Digital Divide: Analyzing the Impact of Digital Connectivity on Human Development (With UNDP)
February 2nd, 2021

Applying AI to identify causal factors of the digital divide and their impact on human development. By Salil Kumar and Harshita Chopra   “Technology is changing the world” is something we read and experience every day. The Internet of Things (IoT), cloud storag

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