AI applications do not run on models alone. They run on timing. A support copilot, fraud system, recommendation engine, or AI ...

Apache Airflow is a great data pipeline as code, but having most of its contributors work for Astronomer is another example of a problem with open source. Depending on your politics, trickle-down ...

Ascend.io, a company developing data automation products for enterprise customers, has raised $31 million in a Series B round led by Tiger Global with participation from Shasta Ventures and existing ...

Confluent, the company that built a streaming service on top of the open source Apache Kafka project, has always been about helping companies capture streams of data. First it was on prem, then later ...

Data is important to the sales pipeline. That’s never been disputed much. But the role of data has greatly expanded, leaving some organizations scrambling to align metrics and goals. It may not happen ...

Machine learning workloads require large datasets, while machine learning workflows require high data throughput. We can optimize the data pipeline to achieve both. Machine learning (ML) workloads ...

Data can exist in any number of different places across an enterprise. Gathering all that data for analysis in IT operations and security is often a challenging task. The overall goal is to make it ...