Data Engineering Summit - Demos & Tech Talks

Logistics
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Location: ​Event is on the ground floor of 5 Palo Alto square. On the opposite side of the building from where the elevators are. Light food and refreshments will be provided

Overview
Let’s cut to what matters: modern data engineering is less about sexy code and more about cleaning up after your data’s existential crisis. Meet:

• Ari Morcos, Co‑founder & CEO @ DatologyAI—ex‑Meta FAIR and DeepMind maestro, Harvard PhD, whose startup builds fully automated, scalable tools to curate the right data for GenAI models (text, image, audio, you name it).
• Hendrik Krack, AI Product Manager @ Aparavi—he helps tame unstructured data with a no‑code pipeline that processes 1,600+ file types, enforces compliance, and makes data “AI‑ready” without you needing to be a wizard.
• Jiang Chen, Head of DevRel @ Zilliz—the force behind Milvus, the open-source vector database. An ex-Google search guru, he’s tackling the biggest bottleneck in AI: making billion-scale vector search affordable. His secret weapon? A new architecture that stops infrastructure costs from eating your AI budget alive.
• Christopher Amata, Vector Solutions @ Pinecone—he’s the one you call when your RAG pilot project blows up in production. A veteran of scaling AI infrastructure, he specializes in architecting cost-effective, high-performance vector search systems that actually deliver on the hype.

These voices reflect the future: one stressing quality data for smarter AI, the other ensuring that messy data doesn't choke your models. No fluff, just substance.

Agenda

• ​​6pm - Doors Open, Networking, Food & Drinks
• ​​6:45pm - Welcome & Introduction
• ​​7pm - Demo & Tech Talks
• Datology
• Aparavi
• Zilliz
• Pinecone
• ​​8pm - Networking