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Machine Learning

A love letter to Machine Learning

Machine learning changed my world, and it started with an Uber ride.

I have air travel down to a science: laptop/tablet/smartphone in a separate bin from shoes and jacket, nothing in my pockets, 22 inch carry-on only for multi-night trips, Apple wallet containing boarding passes and Uber app on my phone.

When I land, I approach the signs for Ground Travel (fresh Uber/Lyft signs if I’m lucky) I stride confidently to the Uber area and wait for my white Prius to show, often no more than 5 minutes. My driver arrives, we check each other’s identity and get going. My Uber driver knows where I’m going, I follow along on the in-app map and tap on the button to send my husband my Uber trip details (a new must-have safety feature). I get to my hotel, thank the driver and we’re done.

Easy, friction-less and pain free. 

And, if you’re Uber driver happens to have a good play-list and good conversation this is a genuinely incredible customer experience. 

The advancement of Artificial Intelligence (which includes Machine Learning) means that companies can predict, manage, align and exceed your customer experience expectations with the volume and speed that no human can match. It means that on a trip to Disneyland your key, purchases and tickets can be managed by a MagicBand worn around your wrist, it means that ordering from Starbucks is customized just for you, it means you can chat with an ATT chatbot instantaneously and troubleshoot issues unique to you, and it means that when you hop into your BMW the cabin experience is tailored to your preferences.

How can we (the customers) not love machine learning?

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About the Author

Julie Scott, Senior Product Manager

Julie is a Product Manager at Metal Toad. She brings 15+ years specializing in creating and deploying successful technology solutions for fortune 100 companies. She has led teams through the entire lifecycle of a product from start to finish, combining the best of technology, data and design to execute a successful product vision. Julie is very interested in machine learning and with it she believes that all customer experiences can be genuinely incredible.

Julie is originally from Sydney, Australia, where she developed a sense of adventure and a love for the ocean. She now calls Portland home and enjoys exploring everything Oregon, and the USA, has to offer.

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