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ST - 7 Experts on Designing Commercially Successful Smart Home Devices

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13 13 "If you think like a machine instead of like a human being, you use different data and therefore choose different sensors." Marc Dupaquier, Co-Founder & Managing Director, Cartesiam Marc Dupaquier is a French-American Business Angel exclusively focused on B2B Artificial Intelligence Software. Marc is a co-Founder and Managing Director of Cartesiam, the Global Leader of AI at the Edge. Prior to this role, Marc was a Senior Executive with IBM where he led multi Billion $ businesses including the $13B Business Partner Group, the iconic AS/400 & Mid Market Divisions and headed Marketing and Strategy for the Hardware and Software Groups. Marc Dupaquier, managing director at Cartesiam, believes that a good smart building solution must begin with an understanding of the problem you are trying to solve and the data needed to solve it, which often means thinking differently about the problem you are trying to solve. For example, engineers often design smart systems to solve problems the way humans would solve them. Dupaquier cites the example of a client who wanted to design an air filter monitoring system that would provide an alert when the air filters needed to be changed. The designers knew that dirty air filters turn gray, so their design used low-resolution cameras to take pictures of the filters and a smart system to analyze their "grayness" to determine whether it was time to change the filters. "That's thinking like a human being," Dupaquier says. "Such a system would be expensive from a design standpoint—both the parts required and the maintenance." He notes that when filters in an air conditioning system become dirty, the system consumes progressively more power, and its start and stop cycles change. A smart system can learn these patterns and accurately send alerts when it is time to change filters. "If you think like a machine instead of like a human being, you use different Processing at the Edge Saves Power and Is More Secure 13 13

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