AI Personalization & The Flywheel Effect
AI Personalization & The Flywheel Effect
In the first article on our Augmented, Not Artificial series, we observed that the biggest barriers to realizing agentic AI’s potential in the enterprise are cultural, not technical. The models are ready. The infrastructure is ready. What isn’t ready is how most orgs think about software, ownership, and performance.
Read full article on The AI Journal
Tech, startups & the big picture
Subscribe for sharp takes on innovation, markets, and the forces shaping our future.
NEWS, BLOGS & ARTICLES
Let's keep in touch
We're heads down building & growing. Learn what's new and our latest updates.
Who's going to build the next era of AI-driven software? Kimber Robbins, VP of Product at portfolio company Ketch, and Mochamad Asri, leading architect at Nvidia, explain the concept of the "Renaissance Engineer": their traits, their makeup, and their goals.
Despite massive enterprise investment in AI, many initiatives fail — not because of the technology, but due to outdated organizational thinking. Peter Day, general partner at venture studio Superset, argues that companies treating AI as an IT project rather than a structural transformation are setting themselves up to fall behind.
.png)
Why do knowledge workers switch between apps over 1,200 times a day? Peter Day, super{set} General Partner explains in a keynote address how enterprise software got here and why AI-native experiences will finally replace fragmented workflows.