Career changes

- We human beings are actually best served doing something that we are passionate enough about that we have something to contribute, and when we lose that passion, we, and everyone around us, benefits from us moving on to something else. - Even if you go into a career that's related to what you went to school for, the reality is we have to learn a lot on the job. - So I think right now we're living in a time where we're definitely on the cusp of some brand new technologies that they're really going to change the way that people live their lives in upcoming generations. Things like artificial intelligence, self-driving cars. We have a whole bunch of voice assistants that are already hitting the market. - So I've seen use case with respect to imagining architecture using VR, imagining your interiors with respect to VR. - Pokemon Go is probably the number one example of augmented reality. And I think a lot of people got tricked into using an augmented reality system without actually understanding what it was. And I think that sort of thing is definitely the future. We see it with map, with navigation systems. And overlay things on locations of, here's a gas station, here's a restaurant. Those things are actually augmented reality, whether we understand that they are or not. And I think that is really the way forward. - Probably the most exciting thing that I'm really getting into is self-driving cars. It's one of those things where a lot of people both die and get injured in car accidents in this country alone and across the world. And if they could reduce that number, even by like 5%, 10%, that's a lot of people. - Machine learning, AI, I think there's a lot of potential there. And I think in particular as a tester, there's a lot that's going to influence testing. So some people will talk about how it's going to kill testing and testing is dead, and we're going to get rid of it. I don't think that's the case necessarily, but I think that it will change a lot of what we do. And it's a wonderful tool that we can use to help us get rid of some of those boring things. - I worry a little bit because I feel like we do have a lack of folks taking responsibility for their actions, that worries me, that there are people building technology that maybe aren't thinking through the consequences of it, when something bad happens, aren't going to take responsibility for it. - We've already had computer viruses get out of control and have unintended effects that even the person that wrote it didn't think it was going to happen. Now, imagine if they were also super smart, and they could do a lot more things and then think about how many different computer-controlled devices that you have in your house, your car, your airplane that you're flying in. - We have machines that are adapting. Now, humans in the past adapted, great. And currently, the machines adapt slower than the humans do. But 20 years later, 30 years later, those machines will adapt way faster than any other human does. That will be a challenging time for the humanity. - Nobody knows how much data goes into building an AI machine. And it's getting so much smarter that it can predict every walk of our life. And this is a very troubling concern with regards to privacy. - My hope, I like to believe that humans will move into positions that require a higher degree of finesse of ethical moral dilemma, than we might have with machines and automation. I haven't seen it at a place yet where these computers can work in the gray zone, where it's really coming down to both options are correct, both options are incorrect. We could do it either way, which do we choose? Those are very hard questions for a machine to answer. - What you need to do is always plan for possible change in the future. Think about how you can expand your knowledge, how you can always push the limits. Where's the edge of the thing you're working on now? What is beyond that edge? Where do you go next? And explore new things all the time. Because then, the opportunities for moving around will just present themselves. - Pick what you learned from your last job and incorporate it into your next job. That is how your career change will have the most effect that it can probably have.