- Becoming a serial entrepreneur
- Starting x.ai
- The technical challenges of designing an intelligent agent
- Pitfalls of educating the market
- Explainable AI
- The future of work
“It’s not as black as white as as this, but there’s probably two types of AI predictions that you could make. There’s low accuracy predictions for where whatever prediction you make, it is of value. Then there’s high accuracy predictions, where if you don’t reach a certain kind of threshold, anything which you make, it’s really not of value.”
Future of Work
“I do think you will extend your team with a pool of intelligent agents, and it’ll be on you to figure out who to hire, how to train them, how best to deploy them, on failure how to best terminate them and find new agents.”
“Think of it more like professional sports, where you have a skill set and you deploy that with different teams for different seasons, to win different trophies. And you might even play for multiple teams at the same time, and that will not be abnormal.”
“It’s not just the companies that have to change, it’s the support system of the whole society that would have to shift to this new way of living and working.”
Welcome to the very first episode of the Absolute AI podcast, where, each week you will have the opportunity to hear the humans behind artificial intelligence talking about cutting edge innovation and the unique challenges posed by this new technological frontier. The very special guest for this premier episode is Dennis Mortensen, CEO and Founder of x.ai, a sophisticated AI platform that solves the problem of scheduling meetings. A serial entrepreneur who built and successfully exited four companies as a Founder and CEO, Dennis is also a recognized leader, author, and university instructor in the field of Data Analytics and AI. Today, he delves into this vast amount of experience to pass on wisdom and advice for all to hear.
Dennis begins the interview by sharing the origins of his interest in computer science, his experience of becoming an entrepreneur, and starting x.ai. He goes on to discuss the technical challenges that he and his team faced at the start, their work in flipping the onus for accuracy onto the client, and the concepts of educating the market and explainable AI. He finishes up by detailing how they set up their system to distinguish between important and superfluous information, and offering his perspective on the future of work. Possessing an innate ability to render the complexities of his work entirely accessible, Dennis shares his experience, knowledge, advice, and thoroughly enjoyable sense of humor with listeners here today – a fitting springboard to this fascinating new podcast.