panel discussion
Beyond Market Intelligence keeps panel discussion in one place: 3 stories so far. The section currently leads with “Five Practitioners on Keeping AI Reliable in Production”, “Turn your Disrupt idea into an event that connects with thousands”, and “Explore how teams balance AI progress with human-centered engineering in 2026”. Running AI in production means trusting it with real decisions, and that trust isn't automatic. The Disrupt main stage is only half the story. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every panel discussion story on Beyond Market Intelligence, newest first.
Five Practitioners on Keeping AI Reliable in Production
Running AI in production means trusting it with real decisions, and that trust isn't automatic. On October 14, InfoQ brings together five practitioners for a free 60-minute panel on keeping AI reliable, from agent autonomy and human approval to verifying AI-generated changes and protecting sensitive data. Registrants can ask questions and get the recording. If you're weighing how much autonomy to grant your agents, this conversation is worth your time.
Turn your Disrupt idea into an event that connects with thousands
The Disrupt main stage is only half the story. The real connections often happen in the rooms you choose to build. That is why we are inviting you to host your own Side Event at TechCrunch Disrupt 2026. You bring the concept, whether it is a founder mixer or a morning run, and we provide the audience already in town for the action. It is a direct way to shape the conversation.
Explore how teams balance AI progress with human-centered engineering in 2026
The 2026 Engineering Culture Trends Report zeroes in on something easy to overlook: the humans behind the algorithms. Ben Linders and his panel of QCon speakers and InfoQ contributors tackle AI adoption maturity, shifting team structures, and the roles that are transforming as a result. It is a grounded look at what changes when engineering cultures evolve. For a deeper dive into the enterprise side, our related article, "Unlock AI's Enterprise Potential," pairs well with this discussion.