Selling a Complete IoT Solution | GetWireless's Dave Smith | Internet of Things Podcast

Customer supportunnamed AI backend

An AI backend integrates historical sensor data, weather, and location to optimize waste collection routes, allowing municipalities to manage personnel and equipment more efficiently.

“this platform has an AI back end, and it takes that data, it takes past historical data, the day, the weather, all sorts of stuff, and integrates it together and says, look, municipality, if you take those people in that truck on that route, on that day, you're good.”

Customer supportunnamed machine learning model

Machine learning analyzes vibration time-series data from sensors to predict equipment failures, enabling manufacturers to schedule proactive maintenance before a breakdown occurs.

“we're working with some vibration sensors to use machine learning, which is really good at taking what we call time series data … It takes that time series data and it uh, it predicts failures or predicts changes.”

Engineering & simulationAdam Beam80% reduction in data transmission

A tiny machine learning model is embedded in sensors to compress data transmission, reducing the amount of data sent over the air by 80% to extend battery life.

“There's a company, I think, is called Adam Beam, and they use machine learning … they can put a tiny machine learning model in your sensor and drop the amount of data that you send over the air by like 80…”