
“Crazy eclectic, but in a really interesting and provocative way!”
FMCG leader, Stephen Scales
All Looking Outside episodes.
Episode 85: AI replicas
When we talk about “human in the loop” of AI, what we mean is human intervention. But what if the AI was human? Or more accurately, a replica not of a generic repeatable, predictable human-sounding response, but built like you. Tech entrepreneur Robert LoCascio joins us today to explore this future, where humans aren’t just kept in the loop but are integrated with AI. Through his company Eternos, Rob aims to replicate a human being, capturing everything from their past experiences, future hopes, and right down to how they emotionally rationalize in the moment. It begs the question: what do we truly risk giving away to the machine, if we hand over not just our tasks, but our lived stories and learned knowledge?
Episode 56: Imperfect Stories
In this episode of Looking Outside, we explore personal and professional growth from the angle of imperfection; not having it all figured out and embracing what you don’t know as a lever for learning. Even if you work for the world’s biggest and best brands. Just like our guest has done, Marco Andre, author of Imperfect Stories and Head of Marketing and Generative AI at Novartis.
Marco shares how his journey from tech to pharma had no master plan, he was simply a geeky guy that liked designing things. A sustainability engineer by training, a jazz drummer by night and an author in his spare time, Marco has embraced adaptability and flexibility throughout his career. All while working for the world’s leading brands, P&G, Google and now Novartis.
Episode 48: AI
On this episode of Looking Outside we explore the reality and risk behind the hype of AI, with Executive Director of the Institute for Experiential AI at Northeastern University, Founder of Open Insights, Data Scientist and AI expert, Usama Fayyad.
Usama has been in the field of AI for three decades and has lived through three AI hype peaks followed by three winters. In this conversation he contextualizes how the current infatuation with the ‘eloquence’ of data-driven AI stacks up.