- ZenaTech (ZENA, Financial) expands its quantum computing team to accelerate the "Clear Sky" project.
- AI drone swarms and quantum computing are used for accurate weather forecasting.
- Global losses from extreme weather events reached $417 billion in 2024.
ZenaTech, Inc. (ZENA) has announced a significant development in its "Clear Sky" project, which aims to revolutionize weather forecasting through a blend of AI-powered drone swarms and quantum computing. As part of its strategy, the company will be expanding its quantum computing team by hiring 10 additional specialized engineers, bringing the team total to 20 members, to hasten the beta release of the innovative project.
The "Clear Sky" project is a response to the escalating incidence of extreme weather events, with 58 billion-dollar disasters recorded globally in 2024, including 27 in the United States alone. These disasters have resulted in an estimated $417 billion in global economic losses. ZenaTech's approach involves deploying autonomous drones equipped with advanced sensors to gather real-time atmospheric data such as temperature, humidity, wind speed, and pressure, particularly in hard-to-reach or hazardous areas, providing a more comprehensive atmospheric profile.
This cutting-edge technology aims to fill the critical gaps in traditional weather observation methods, allowing for more precise predictions of severe weather conditions, ultimately saving lives and mitigating economic losses. By leveraging quantum computing, ZenaTech anticipates enhanced data processing capabilities that could lead to faster, more accurate weather models, potentially transforming the field of meteorology.
As ZenaTech progresses with the "Clear Sky" project, it seeks to position itself at the forefront of climate technology and disaster mitigation, targeting a substantial market opportunity in the process. While the project is currently in the research and development phase, the upcoming beta release represents a significant step towards commercialization and operational deployment.
