Me, Myself, and AI
Discusses enterprise AI adoption with leaders from large global companies.
Shifting AI From Fear to Optimism: U.S. Department of Labor’s Taylor Stockton
In this episode, Chief Innovation Officer Taylor Stockton of the U.S. Department of Labor explains how the agency is shifting the narrative around AI from fear to optimism by focusing on workforce agility, AI literacy, and supportive policy. He highlights the economy‑wide transformation of jobs, the need for both soft‑skill development and foundational AI competencies, and the upcoming AI Workforce Hub—a real‑time data and innovation lab to guide businesses, workers, and policymakers. Stockton stresses that AI will reshape tasks rather than eliminate entire occupations, creating opportunities for entrepreneurship and more meaningful human work.
Creating More, Not Less, With AI: GeekWire’s Todd Bishop
In this episode, Sam Ransbotham and GeekWire co‑founder Todd Bishop discuss how AI is transforming work, education, and journalism by augmenting human capabilities rather than replacing jobs. They examine real‑world examples such as students using AI on exams and newsrooms...
From Rabbit Holes to Recommendations: Reddit’s Vishal Gupta
In this episode, Vishal Gupta, Reddit’s engineering manager for machine learning, explains how the platform’s recommender systems have evolved from simple collaborative filtering to deep‑learning and large‑language‑model‑driven multimodal models that power both user feeds and ad relevance. He discusses the...
Personalization and Innovation in a Regulated Industry: Experian’s Kathleen Peters
The post features Experian’s chief innovation officer Kathleen Peters discussing how the company’s Innovation Lab leverages generative and agentic AI—especially after the 2022 democratization of tools like ChatGPT—to accelerate product development such as the Experian Assistant, which lets non‑technical users...
Never Fight a Megatrend: Cisco’s Jeetu Patel
In a MIT Sloan podcast, Cisco President Jeetu Patel frames AI as a megatrend surpassing even the internet and automobile revolutions, emphasizing that the new wave demands re‑imagined data‑center and networking infrastructure—Cisco’s core business. He argues that AI’s rapid, exponential...
The Risks of Too Much AI: Fortune’s Jeremy Kahn
In the podcast, Fortune AI editor Jeremy Kahn warns that over‑reliance on generative AI can erode critical thinking, source verification, and the deep reasoning that comes from writing, likening the risk to past tech such as PowerPoint. He cites examples...
Never Too Much AI: Upwork's Andrew Rabinovich
In the podcast, Upwork’s VP of AI, Andrew Rabinovich, explains how the platform is shifting from simple talent matching to an outcome‑driven model powered by AI, exemplified by the new "Uma" assistant that translates client needs into solutions by pairing...
Ethically Sourced Creativity: Shutterstock's Alessandra Sala
Alessandra Sala, senior director of AI at Shutterstock, explains how the company leverages its curated library of 825 million creative assets as an ethically sourced training set for AI, rewarding contributors through a royalty‑sharing model. She highlights Shutterstock’s structured acquisition process,...
