The Pragmatic AI Stack

​Join a technical morning about building real-world AI systems in production.

​We will cover the practical engineering challenges tech teams face today: selecting the right model, building low-latency pipelines, and connecting cloud analytics with operational databases.

​You will hear real production lessons, learn how to combine BigQuery with MongoDB, and watch a live architecture demo.

​Agenda

• ​09:30 – 10:00 | Networking & Coffee

• ​10:00 – 10:30 | AI Has 2 Seconds to Be Useful: Lessons from Building Real-Time AI in Production

  • ​Speaker: Gilad Mor-Hayim, CTO at WINN.AI

  • ​Practical lessons and architectural considerations for running real-time AI pipelines where speed is critical.

• ​10:30 – 11:00 | SLMs Are Way Too BIG

  • ​Speaker: Chaked Sayedoff | CEO at Specific AI

  • ​A session on moving away from massive models and utilizing smaller language models for efficient production deployments.

• ​11:00 – 11:45 | Combining BigQuery & MongoDB
  & Live Demo

  • ​Speakers: Oren Bouni, Customer Engineer at Google Cloud & Tom Moshe, Solution Architect at MongoDB

  • ​A practical deep dive into running complex queries in BigQuery alongside MongoDB's operational capabilities - covering graph DB patterns, embeddings, vector search, and hybrid search, followed by a live demo.

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