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Markiesha
Patrice
Head of Startup Platform & Community
Nebius
Markiesha's a dynamic marketing strategist and community builder passionate about driving innovation and human connection within the AI and startup ecosystems. As the Startup Community Lead at Nebius and a Marketing Advisor of the GenAI Collective, she specializes in building thriving AI ecosystems, fostering strategic partnerships, and creating engaging, impactful experiences that inspire collaboration and growth. With over a decade of experience in marketing, partnerships, and community development, she's led initiatives that generated multi-million-dollar revenue, launched innovative products, and brought diverse communities together through storytelling and technology. From scaling global events like Consensus to developing go-to-market strategies for emerging AI platforms, Markiesha thrive at the intersection of innovation and human potential.
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10 September 2026 12:00 - 12:30
Human signal, machine scale - The case for community-led AI marketing
Most marketing teams are treating AI and community as separate workstreams — one sitting in the tech stack, the other in the social team. That disconnect is costing them both intelligence and growth. The brands pulling ahead have figured out that the two aren't just compatible - they're multipliers of each other. This session makes the strategic and practical case for community-led AI marketing: using the richest, most honest signal you have, your community, to train smarter models, sharpen messaging, and build AI-powered campaigns that actually resonate. Drawing on experience marketing some of the world's most culturally engaged content, this talk translates entertainment-grade audience intelligence into frameworks any B2B or B2C marketing team can act on immediately. What you'll learn: - Why community is your highest-quality data source - and how to systematically feed those human signals into your AI tools to produce sharper insights, better content, and more relevant personalisation - How to build the operational bridge between your community function and your AI marketing stack — the workflows, feedback loops, and team structures that make it work in practice - What community-led AI marketing looks like at scale - and the measurable impact it has on retention, content performance, and the cost of customer acquisition