Building High-Performance Data Infrastructure for AI

Details
As machine learning, generative AI, and agentic AI redefine how businesses operate, the demands on data infrastructure are skyrocketing. Enterprises must deliver millisecond-latency performance at massive scale—all while managing costs and ensuring architectural flexibility.
In this webinar, we’ll explore how forward-thinking organizations, such as PayPal, Barclays, Wayfair, AppLovin, and Myntra, are overcoming these challenges. Discover how they’re powering use cases such as fraud detection, Customer 360, and personalized recommendations—all while reducing compute costs by up to 80%.
You’ll walk away with:
1️⃣Proven architectural patterns for real-time, AI-ready data infrastructure
2️⃣Strategies to support scalable, low-latency workloads in production
3️⃣Business insights that turn data investments into revenue growth
Whether you're modernizing your stack or scaling your AI initiatives, this session delivers practical guidance to fuel high-performance, cost-efficient innovation.

Building High-Performance Data Infrastructure for AI