Live Webinar

Real-time data has become a non-negotiable foundation for powering machine learning (ML) and generative AI (GenAI). From delivering event-driven predictions to powering live recommendations and dynamic chatbot conversations, AI/ML initiatives depend on the continuous movement, transformation, and synchronization of diverse datasets across clouds, applications, and databases.

But complexity stands in the way: incompatible platforms, brittle pipelines, fragmented architectures, and the growing pressure of data privacy and compliance risks make it challenging for teams to deliver trusted, real-time data to models and applications.

In this webinar with BARC, a leading analyst firm for data & analytics and enterprise software, you'll learn how to overcome these challenges and build the data backbone for AI/ML success.

Join us to:

• Break down the key elements of modern data streaming architectures and their impact on AI/ML.
• Define the must-have characteristics of a data streaming architecture.
• Explore real-world use cases, including streaming ELT for experimentation, real-time ML, and retrieval-augmented generation (RAG) for GenAI.
• Gain actionable guidance to build scalable, resilient streaming pipelines that drive continuous innovation and measurable value.