The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Santosh has Developed event-driven data pipelines using technologies like Azure Event Hub, Databricks, and Synapse Analytics ...

Confluent CEO Jay Kreps Confluent has announced new capabilities for its cloud platform that aim to unify batch and stream processing, with the ambition of positioning the vendor as a key ...

The shift to continuous manufacturing Switching from traditional batch and fed-batch methods to a more resource-efficient, automated continuous manufacturing process offers biopharma companies a ...

From real-time to right-time: Rethinking AI processing needs Anthropic has made the Batch API available for its Claude 3.5 Sonnet, Claude 3 Opus, and Claude 3 Haiku models through the company’s API.

Flink has a powerful processing model that generalizes both batch and stream processing. Essentially, it allows organizations to combine, develop and reshape those streams with other data from across ...

Batch processing, a long-established model, involves accumulating data and processing it in periodic batches upon receiving user query requests. Stream processing, on the other hand, continuously ...

Akshat Mullerpatan, PhD, scientist, purification process development, Sanofi, spoke to GEN about the topic, which he addressed in his conference presentation, “Transitioning from Batch to Fully ...