Name: VIP Salon: Web Data at Scale with Bright Data
Start: 2026-11-25T10:00:00.000Z
End: 2026-11-25T14:00:00.000Z
Location: Singapore

About the event

AI agents are getting better at reasoning, coding, and taking action — but they’re only as useful as the information they can access.

For production AI applications, connecting an agent to the open web introduces an entirely different set of challenges: discovering the right sources, retrieving fresh information, navigating dynamic websites, turning unstructured pages into usable data, and doing all of this reliably at scale.

Join Bright Data and AI Builders for an evening exploring how developers can give AI agents reliable access to real-time public web data — from search and web extraction to browser interaction and structured data pipelines.

We’ll go beyond basic scraping and look at the infrastructure behind web-connected AI agents: how agents can search, retrieve, crawl, and interact with the web, and how developers can integrate these capabilities directly into agent workflows through APIs and MCP.

What we'll cover

The web as an infrastructure layer for AI agents — why models need fresh external data and what changes when an agent moves from answering questions to actively researching and interacting with the web.
Agentic Web Access with Bright Data — how AI applications can search the web, retrieve content, crawl websites, and interact with dynamic pages without developers having to build and operate the underlying infrastructure themselves.
From raw websites to AI-ready data — patterns for turning public web information into clean, structured inputs that agents can reason over and use in production workflows.

You'll walk away with

A practical understanding of how to give AI agents access to fresh information from the public web.
Practical patterns for building agents that research, browse, and retrieve information across the web.
A reference architecture for moving from an LLM with static knowledge to an agent that can discover and interact with live information.

Who this is for

Engineers and leaders building AI products and agentic applications in production:

AI/ML and GenAI engineers, agent developers, data engineers, platform engineers, engineering leaders, CTOs, founders, and teams building AI-powered research, commerce, sales, analytics, monitoring, or automation products.

If you're building an AI agent that needs to know what's happening on the web right now — or needs to navigate the web and take action rather than relying entirely on model knowledge — this evening is for you.

Agenda