We talk endlessly about the power of AI models, but what happens when the public web data they rely on is incomplete, outdated, or just plain wrong?

Agility requires not just reacting to market changes, but anticipating them by having a clear, real-time view of the world. This means having the infrastructure to see the digital landscape as it truly is, not just how it's presented in curated reports.

Today, we're going to talk about the foundational element that will determine the winners and losers in the age of AI: access to high-quality, real-time web data. As AI agents become more autonomous and LLMs more integrated into our workflows, the quality of the public web data they consume is no longer an academic concern—it's a critical business imperative that impacts everything from competitive intelligence to dynamic pricing and customer experience.

To help me discuss this topic, I'd like to welcome Ariel Shulman, Chief Product Officer at Bright Data.
About Ariel Shulman

Ariel Shulman is Chief Product Officer at Bright Data, the world's #1 web data infrastructure company for AI & BI. With more than 20,000 global customers, including 14 of the top 20 LLM labs, Bright Data powers 100 million daily AI agent interactions. Ariel is an accomplished executive with extensive experience in technology management, business development, marketing, and strategy. Since joining Bright Data in 2021, Ariel has leveraged his networking, security, and Internet expertise to drive innovation to access high-quality public web data solutions at scale. He now serves as CPO, responsible for Bright Data’s AI-integrated product suite that leads innovation.
Fluent in English, French, Spanish, and Hebrew, with professional experience across multiple countries, Ariel plays a pivotal role in shaping Bright Data's global positioning.

Ariel Shulman on LinkedIn: https://www.linkedin.com/in/arielshu/

Resources

Bright Data: https://www.brightdata.com

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#845: Bright Data Chief Product Officer Ariel Shulman on why access to real-time web data is critical in the age of autonomous AI