$600 Fullstack Live Event Free With a Membership!

From Data to Decisions: Operationalizing AI at Scale

Turn messy data into measurable outcomes.

Live on June 03, 2026 | 19:15 - 00:15 CEST

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Turn AI Into Real Business Outcomes

AI creates value only when it moves beyond experimentation and becomes part of real operational workflows. This Fullstack Live Event shows how to transform messy enterprise data into measurable decisions, evaluate agentic AI systems with confidence, and deploy production-ready models across cloud and browser environments.

Learn how to operationalize AI with practical architectures, rigorous evaluation strategies, and modern deployment techniques that turn intelligent systems into scalable business assets.

Turn AI Into Real Business Outcomes

Build, Evaluate, and Deploy AI at Scale

Moving AI into production requires more than model access. It demands structured pipelines, trustworthy evaluation, and efficient delivery architectures that perform reliably in real-world environments.

In this event, leading practitioners share actionable strategies for structuring unstructured data, testing complex agentic applications, and running advanced AI models directly in the browser without cloud dependencies. You will gain practical insights for building secure, efficient, and measurable AI systems that scale.

Build, Evaluate, and Deploy AI at Scale

Your expert sessions

07:15 PM - 08:00 PM | AI as a Cog in the Machine: Transforming Unstructured Data into Competitive Advantage | Apurva Misra

Learn how to transform unstructured enterprise data into measurable business outcomes. Discover practical patterns for data ingestion, retrieval pipelines, summarization, workflow automation, and human-in-the-loop systems that turn AI into a reliable operational asset.

Move beyond guesswork and learn how to evaluate agentic AI systems with rigor. Explore strategies for benchmark creation, regression detection, LLM-as-judge pipelines, and human validation workflows to ensure trust, reliability, and production readiness.

Discover how to run LLMs, image models, and speech AI locally in the browser using WebGPU, WebNN, WebAssembly, and Gemini Nano. Learn how to build fast, private, and cost-efficient AI-powered applications without relying on cloud infrastructure.

Expert Knowledge for

  • AI Engineers who want to build scalable production pipelines for intelligent systems

  • Software Developers who want to deploy browser-based AI applications without cloud overhead

  • ML Practitioners who want to improve LLM evaluation, testing, and reliability

  • Technology Leaders who want to turn AI initiatives into measurable business outcomes

Expert Knowledge for
Join us and learn...

Join us and learn how to...

  • turn unstructured business data into production-ready AI workflows

  • evaluate agentic LLM applications beyond intuition and manual testing

  • deploy LLMs, vision, and speech models directly in the browser

  • build secure, scalable AI systems with measurable performance

Get to know our experts

Apurva Misra

Apurva Misra

Sentick

Expert in: AI automation, enterprise ML systems, operational AI strategy

Rushabh Mehta

Rushabh Mehta

Meta

Expert in: LLM evaluation, AI infrastructure, privacy-preserving ML systems

Maximiliano Firtman

Maximiliano Firtman

firt.dev

Expert in: browser-based AI, web performance, modern web application architecture

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