Showing posts from January, 2022

Robots in Clean Technology: Navigating Oceans and Atmosphere Efficiently With AI and Biomimicry

If there’s one area in clean technology and data science that’s seen tremendous growth in the last three years, it’s the use of robots, drones and satellites to collect data and perform tasks.   Satellite data was used in the early 1970s for applications in clean technology through machine learning and statistics. Back then, LandSat were the earliest satellites and the data were used to understand land use and monitor environmental impacts from space. Of course, today we’ve got a wide range of satellite data available for all kinds of applications - from traditional government sources like the LandSat and Copernicus satellites to commercial satellites launched by companies like Planet.   Similarly, we’ve seen an explosion in the use of robots and drones in different clean technology areas - ranging from ocean monitoring to repairing infrastructure like oil and sewer pipes to maintaining solar arrays and wind turbines to cleaning up plastic pollution to harvesting fruits and vegetab

Looking back at 2021 - Clean Technology Meets Data Science

As we enter 2022, let’s take a look back at what happened in the clean technology and data science space during the last year. It was certainly an interesting year from a technology perspective - and not just because the pandemic upended industries all over the world!   Clean technology saw some remarkable growth during the past year. We saw the explosion in the market share of electric vehicles (EVs), significant increases in renewable energy production and use around the world, the growth of wastewater surveillance and startups and utilities focusing on water management tools, and finally with COP26, we saw climate and sustainability come to the forefront with major players asking for better monitoring and decision making tools.   As clean technology sectors grew, we also saw data science tools and technologies being deployed more frequently - not just by startups and other innovators, but also by larger companies and organizations. And data science was being used not just to develop