H2O has been a leader in Machine Learning and AI for over a decade. In our mission to Democratize AI we believe a core tenant of that is using our technology to better the world. Given the massive environmental risks the world is facing, we have invested countless hours, resources, and talent to use our expertise to drive impact beyond ourselves. We believe there are three key verticals to saving the planet: Land, Oceans, and Animals. By leveraging the advancements in AI & ML to drive conservational biodiversity research, identify early and help mitigate high-risk wildfire zones, and accelerate ocean-based renewable energy research, we believe that we can support some of the most innovative solutions to some of the world’s most challenging problems.
Join Us in Finding Solutions to Conserve Our Natural Resources.
From the Australian outback to the California redwoods to the Amazon rainforest, wildfires cause nearly $350 billion in annual losses worldwide. Even more devastating than the economic damage is the ecological and human impact these fires have. Climate change has made annual droughts more severe than ever before, while at the same time causing extreme weather like the lightning strikes and strong winds that spark and fuel wildfires.
H2O.ai is proud to host the H2O.ai Wildfire Challenge, a call to action for data scientists to develop new AI applications that can be used by first responders, local leaders, businesses and the general public to help save lives and prevent the destruction of property and our natural resources.
Participate in the H2O.ai Wildfire Challenge.
Seatrec Ocean Harvesting
See how Seatrec leverages the H2O AI Cloud platform to analyze data collected by the Navis Autonomous Profiling Float to harvest marine energy and gain insight into the health of our world’s oceans.
Wild Me Wildbook
Learn about Wild Me’s efforts to support biodiversity and combat the extinction of endangered species using an H2O.ai-powered web application that accelerates its analysis of wildlife for insight into threatened animal populations.