What We Heard on Stage
One of the most thought-provoking sessions came from Aravind Srinivas, Co-Founder and CEO of Perplexity. His argument was straightforward but significant: AI is not just a feature or a tool – it is becoming the operating system. The shift he described is already underway. The question is no longer which model produces the best output – it is which system can orchestrate work across tools, models, tasks, and environments most effectively.
Mati Staniszewski, Co-Founder of ElevenLabs, made a case that audio is poised to surpass text as the primary interface between users and technology – and that the shift is happening faster than most product teams are prepared for.
One session that stood out for our team specifically explored how AI is transforming sport – an industry we build for. The discussion centred on how vast amounts of sporting data can be turned into real-time insights. The examples were concrete: AI-powered commentary analysis, in-game insight platforms, and tools that improve fan engagement. What struck us was how this mirrors the broader challenge we see across industries – turning data into guidance, not just output.
The industry has moved past experimentation. The conversation has shifted from models and pilots to execution: how companies integrate AI, govern it, and turn it into measurable business outcomes.