Preteckt’s COO Sasha Kucharczyk makes a guest appearance on the Marketscale podcast. In Freedom or Control?: The Autonomous Question with Sasha Kucharczyk, they discus: …the future of AI in automotive repair, the way that autonomous vehicles will change our approach to architecture and urban design, and the struggle between freedom and control that is inherent in the usage of autonomous vehicles. Listen to the full episode on marketscale.
Editor’s note: This article was originally published on January 15, 2018 at hackernoon.com, and was co-written by Wayne Zheng and Kesem Frank. Imagine you are in a rush to get to a client meeting but keep getting red lights. “This is going to make me late!”, the voice inside your head screams. You know your client hates it if you are late, not to mention many other consequences. What if there was a way to optimize your commute so that you would NEVER run into this situation again?
Editor’s note: This article was originally published on April 18, 2017 at readwrite.com. All machines eventually break down. Self-driving vehicles are no exception. Autonomous vehicles pose two problems for the future of vehicles. The removal of the driver means there is no person providing feedback on how the vehicle performs over time. You are removing the point-person who says “something feels wrong, this needs to be checked out.”
Editor’s note: This article was originally published on March 22, 2017 at readwrite.com When people think of a car, they think of the thing that gets them from one place to the next. Traditionally they have been just that: a tool with a single function – to get someone, or something, from one place to another. With the advent of new vehicle designs and the addition of new technology, that is going to change.
Earlier this year Preteckt COO & Cofounder, Sasha Kucharczyk wrote an article for readwrite.com about the major problems with autonomous vehicles. In the piece he breaks down 2 issues and then goes on to explain the role of artificial intelligence in predicting maintenance. Here is a snippet. “The new AI for maintenance The concept of predicting breakdowns is nothing new. People have been using statistics for decades to calculate mean-time-to-failure – it is how the automotive industry came up with replacing parts based on number of miles driven.