Technology in the classroom is vital for today’s young people, and the availability of computers, tablets and even upgraded security systems are working together to make schools more efficient and successful on every front. However, with electronic devices in place, energy costs are soaring in the education industry as a result. Current energy improvements are falling short in a variety of ways.

This is due in part to some misconceptions about the human factor in machine learning. To better understand the complex relationships between people and machines in the education sector and their impact on energy consumption, request a copy of Cenergistic’s white paper How Machine Learning Technology Increases Energy Efficiency for K-12 Schools today.

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