Dennis Mortensen is the Founder & CEO @ X.ai, the startup that realises scheduling sucks and provides ridiculously efficient AI software that solves the hassle of meeting scheduling. To date, Dennis has raised over $44m in VC funding from the likes of Firstmark, IA Ventures, Lerer Hippeau, DCM and more fantastic names. As for Dennis, he is an expert in leveraging data to solve enterprise use cases and prior to X.ai he was the Founder & CEO of 3 companies, 2 of which were acquired and one which went bust or as he describes a rather expensive MBA. Dennis is also the author of Data Driven Insights, on collecting and analyzing digital data.
In Today’s Episode You Will Learn:
1.) How Dennis made his way from Copenhagen to New York, the world of startups and came to found one of the hottest AI companies of our day in X.ai?
2.) What were Dennis' biggest lessons from enjoying 3 successful exits prior to X.ai? What were Dennis' learnings from his one failed startup? What would he do differently if he were to start another company? How does Dennis navigate the balance of between pursuing a vision and miss vs when something is just not working?
3.) Does Dennis believe that there really is such a thing as an AI first company? What is the right mentality to approach a company solving a problem through AI with? How does Dennis view the standardisation of AI tools today (Tensor Flow, libraries etc etc)? Does this remove barriers and defensibility for AI companies? What is the key to success for all AI companies?
4.) What does a truly differentiated data acquisition strategy look like? How can one determine the different utility value between different sizes of data? At what point does Dennis believe utility value of data diminishes due to the sheer size of existing data?
5.) Does Dennis believe that conversational UI is truly a paradigm shift in the way we interact with our devices or an iterative improvement? What have been some of the biggest lessons for Dennis in designing conversational UI products? What have been some of the fundamental challenges?
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