Artifact-Scoped Agents: Stop Mimicking Job Titles
GitHub’s Chris Butler on artifact-scoped agent design: read wide and write narrow, the adversarial PM, and why agents are not coworkers.
Agentic AI and Revenue Work: What Actually Pays Off
Trust Insights’ Christopher Penn on synthetic customers, the TRIPS framework, five levels of AI enablement, and treating agents as untrusted contractors.
AI for Go-To-Market: The New Revenue Team Playbook
Momentum’s Jonathan Kvarfordt on GTM AI adoption: why Copilot licences did not transform anything, how AI tools are really priced, and building for GEO.
Connecting AI Agents to Live Enterprise Data
Snow Leopard founder Deepti Srivastava on why AI agents stall before production, and the boring data problems that eat 80% of the budget.
From Firefighting to Fire Prevention in IT Operations
LogicMonitor’s Karthik SJ on AI investigations, cutting 100,000 alerts to 1,000, and why confidence scores matter more than model choice.
Stop Sending Employees to IT. Send Service to Them.
Atomicwork’s Lenin Gali on flipping IT-led service management to employee-led, replacing MTTR with ticket deflection, and giving every agent an identity.
Never Surrender Agency to the Agent
Clearvision Ventures partner Shomit Ghose on the agentic risk surface, why alignment breaks across a chain of agents, and the Petrov rule for oversight.
In CPG, AI Has to Be Infrastructure, Not a Project
Mondelēz AI product lead Nitin Gupta on the AI council, the POC to production gap, vision models at the shelf, and why AI in CPG has to sit in the DNA.
Detect Intent, Then Tailor Every Screen to the Person
Al Shanmugam of EchoStar on intent-driven personalization: learning a person rather than a segment, and the agents that act on what they want.