AI 4 Good
We believe in doing good because it is the right thing to do.
Our Philosophy
H2O.ai believes that AI has the potential to enrich all of our lives. We believe in giving back and paying it forward.
From education to conservation, to healthcare and more, we believe that AI has the potential to make a big difference in every facet of our lives. We are partnering with organizations that are like minded and believe in democratizing AI. Our maker culture invests their time and energy in the community locally and globally, to make a difference in the world because it is the right thing to do.
Education
H2O.ai is working with AI4ALL to Educate the Next Generation of AI Technologists, Thinkers, and Leaders.
Our mission is to democratize AI for all. We are partnering with AI4ALL, a non profit working to increase diversity and inclusion in artificial intelligence. Jointly we are intent on creating a data science talent pool by creating a pipeline for underrepresented talent through education and mentorship programs that give high school students early access to AI for social good. Our vision is for AI to be developed by group of thinkers, makers, and doers advancing AI for humanity’s benefit.
Conservation
H2O.ai is Helping to Conserve Wildlife with Wildbook
Working together to make a difference in the world.
H2O.ai sponsors Wildbook, a non profit focused on wildlife conservation and research to detect the population of a threatened species such as elephants. Wildbook blends structured wildlife research with artificial intelligence, citizen science, and computer vision to speed population analysis and develop new insights to help fight extinction.
Healthcare & Medicine
H2O.ai is Partnering with Health IT Now to Deploy Health Information Technology to Improve Quality of Care and Lower Costs.
As the premiere Health IT advocacy organization in Washington, D.C., Health IT Now is on the front lines of the fight to increase access to technology-enabled care, promote interoperability across the healthcare continuum, reduce the federal regulatory burden, and engineer a data-driven response to the opioid crisis.
