Streaming data infrastructure: Scaling AI with cloud-native innovation

In today’s cloud-native era, efficient streaming data infrastructure is pivotal for scaling artificial intelligence training and operational insights. As organizations increasingly rely on streaming data for artificial intelligence training, analytics and operational insights, the challenges of scaling technologies such as Apache Kafka are coming into sharp focus. These include escalating costs, operational complexities and the inefficiencies of legacy architectures in cloud-native environments, according to Akshay Shah (pictured), chief technology officer of Buf Technologies Inc. CTO Akshay Shah talks to theCUBE about streaming data infrastructure. “Here in the cloud-native community, we expect Kubernetes to be our abstraction for compute and then, for…