
How to ensure AI's outcomes are no longer 'subject to available data'
The potential of AI hinges on high-quality, first-order data; without robust data collection, promises of transformative AI solutions remain empty.
The potential of AI hinges on high-quality, first-order data; without robust data collection, promises of transformative AI solutions remain empty.
Expectations of AI to address climate change often overlook the need to strengthen the underlying data used for emissions and infrastructure.
While we target net zero goals, we should ensure protecting our current infrastructure, adopting new technologies and enhancing global cooperation.
Robots that fold our laundry might sound futuristic, but don’t justify a new way of operating. And AI that reads our email or searches the web in new ways, won’t tackle the world’s bigges...
Robots that fold our laundry might sound futuristic, but don’t justify a new way of operating. And AI that reads our email or searches the web in new ways, won’t tackle the world’s bigges...
Robots that fold our laundry might sound futuristic, but don’t justify a new way of operating. And AI that reads our email or searches the web in new ways, won’t tackle the world’s bigges...
Robots that fold our laundry might sound futuristic, but don’t justify a new way of operating. And AI that reads our email or searches the web in new ways, won’t tackle the world’s bigges...


