bp buys UK-based Open Energi to optimise renewable energy assets

Open Energi’s platform applies AI to minimise electricity costs by analysing and optimising assets and through reducing energy consumption at peak price periods

Energy Assets’ AI tech gives energy managers an extra set of eyes

I spoke with George Catto, Client Services Director for AMR DNA, about what Energy Assets AMR DNA, powered by kWIQly, machine learning technology is capable of – listen to the full podcast to find out more

Insects to turn food waste into animal feed

A new technology has been developed that turns food waste into insect protein for farmers to feed their livestock – all powered by AI

Saving Money & Reducing Carbon the AMR DNA Way

Six in 10 managers responsible for energy performance in buildings believe that artificial intelligence (AI) could transform the way they interpret data to improve efficiency.

Webinar: How AI can identify energy waste – identify energy savings and demystify your energy data with AI

In case you missed this live webinar, you can catch up here

Have you taken your energy waste fingerprints?

Energy managers in industrial and commercial settings have a critical role to play in greening Britain’s economy.

How AI can identify energy waste

As lockdown eases, how can artificial intelligence help energy managers adapt to new working patterns?
Will it be pre-pandemic business as usual, flexible working patterns or a reduced total footprint….and what will it mean for energy efficiency strategies?

UN launches AI tool to measure nature contributions to economic prosperity

The new tool is expected to make it easier for countries to measure nature’s ecosystems, such as forests and wetlands

Airly raises $3.3m to help clean up the air

Airly provides actionable insights about air quality with its AI-driven algorithms that predict air pollution over 24 hours, with a verifiability of up to 95%

US announces $34.5m for data science and machine learning to advance climate solutions

It will support researchers using computation-based models to tackle basic science challenges, advance clean energy technologies, improve energy efficiency and predict extreme weather and climate patterns