Oct 13, 2026

The Section That Gives Away AI-Written Docs (with Carly Taylor)

Carly Taylor, a prominent engineering leader and founder of Rebel Data Science, discusses strategies for thriving amidst rapid AI advancements, the importance of authenticity and identifying "AI slop," balancing innovation with operational maintenance, and overcoming fear through embracing discomfort. She also addresses the "glass cliff" phenomenon for women in leadership and how to effectively leverage AI without sacrificing critical thinking.

Sep 30, 2026

The Chief AI Officer: Scientist, Architect, Coach — Rania Khalaf, WSO2

Rania Khalaf, Chief AI Officer at WSO2 and formerly a long-time leader at IBM Research, shares a framework for a role that is still being defined. She covers the Scientist, Architect and Coach focus areas, how the balance shifts by company type and AI maturity, and why she measures AI adoption, agent readiness and market signals instead of token counts. She also addresses the need for CEO backing and the question of who should own AI.

Sep 24, 2026

How to build products on a moving frontier | Dan Shipper (Every)

Dan Shipper, co-founder and CEO of Every, advocates for a dedicated 'labs team' to navigate the rapid evolution of AI capabilities. He argues that traditional product development struggles with the 'moving frontier,' proposing a model where a small, experimental lab explores new AI ideas and capabilities, while the main product team focuses on scaling existing offerings. Shipper outlines how to establish and run such a lab, from team composition ('pirates' and 'architects') to rigorous experimentation, dogfooding, and a structured pipeline for integrating successful innovations into the core product, enabling continuous disruption and growth.

Sep 17, 2026

Databricks’ Ali Ghodsi Never Wanted to Be CEO. Now He’s Among the Best

Ali Ghodsi, CEO of Databricks, shares his unconventional rise to leadership, his unique CEO playbook centered on extreme focus on bottlenecks, and how he built Databricks' commercial engine. He details the strategy against Snowflake, the controversial creation of the Lakehouse category, and his views on conflict-averse leadership. Ghodsi also discusses AI's impact on enterprise and organizational design, offering insights from his personal coding experience and operating system.

Sep 16, 2026

AI Tech Stack | The Founders and Builders Architecting Product Market Fit | Creator's Cut | 2026 |4K

This panel discussion explores the evolving AI tech stack and its impact on product-market fit, ethical governance, and business transformation. Experts from Humana, Catenate, In-Telecom, and Spacer AI explain how AI-powered prompts are replacing static dashboards, detail multi-model API strategies for cost efficiency, and delve into the critical role of human-in-the-loop oversight for autonomous agents to ensure data security and responsible AI deployment. They emphasize that true value lies in domain expertise and solving real-world pain points, not just building 'shiny toys'.

Sep 15, 2026

Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion

Aaron Levie, CEO of Box, details his company's successful pivot to AI, emphasizing the critical role of application companies in bridging raw model capabilities to complex enterprise workflows. He argues that significant value will accrue to "applied AI" solutions that understand domain-specific needs, can handle intricate data permissions, and build specialized agents, rather than relying solely on foundational models. Levie shares insights on the economics of tokens, the rise of open-weight models, and why AI diffusion in coding differs from other knowledge work, predicting that 90% of enterprise tokens will soon be consumed by non-human initiated tasks.