diff --git a/apps/www/_go/events/accenture-reinvention-2026/contest.tsx b/apps/www/_go/events/accenture-reinvention-2026/contest.tsx index 3209290b4de..e122f8a9c65 100644 --- a/apps/www/_go/events/accenture-reinvention-2026/contest.tsx +++ b/apps/www/_go/events/accenture-reinvention-2026/contest.tsx @@ -1,7 +1,12 @@ import type { GoPageInput } from 'marketing' +import Image from 'next/image' import Link from 'next/link' import { Button } from 'ui' +import authors from '@/lib/authors.json' + +const speaker = authors.find((a) => a.author_id === 'pedro_rodrigues') + const page: GoPageInput = { template: 'lead-gen', slug: 'accenture-reinvention-2026/contest', @@ -31,6 +36,62 @@ const page: GoPageInput = { ], }, sections: [ + { + type: 'single-column', + title: 'What AI-Native Companies Figured Out About Infrastructure', + children: ( +
+ {speaker.author} + {speaker.position && `, ${speaker.position}`} +
+Supabase
++ Enterprise AI initiatives stall not because of the models, but because of the + infrastructure underneath. While enterprises spend months provisioning backends for each + AI project, AI native companies do it in seconds for millions of users. This session + examines the infrastructure pattern that makes this possible and shows how enterprises + can adopt it to accelerate AI initiatives, enable agentic workflows safely, and build AI + native products for their teams and customers. +
+