Why Real-time Data Streaming is the Foundation of Modern AI Strategies

You’re being asked to deliver AI-powered products faster—with fewer resources and zero room for failure. But while this demand for AI keeps advancing, most data architectures are still stuck in batch, creating delays, complexity, and missed opportunities.

The good news? Real-time data streaming removes the data bottlenecks—including siloed and ungoverned data—holding teams back. In this webinar, Confluent Field CTO Adam Tybor sits down with CRN to break down how real-time data streaming unlocks what modern AI actually needs—and how becoming truly data ready is the key to building AI that actually delivers business value.

You’ll learn:

• Macro trends and technology advancements shaping the industry—including the focus on building trusted data products
• Challenges organizations encounter when deploying, operating, and scaling distributed streaming systems on their own
• How MSPs, CSPs and ISVs can enhance their offerings and scale more effectively without having to manage the complexity of streaming infrastructure