Impact of AI on Data Pipelines

The rise of AI workloads is changing customer expectations for data pipelines, yet the fundamental requirements remain largely the same. Although technologies like language models enhance the ability to machine process unstructured text data, achieving a centralized data repository still presents significant challenges. For instance, Fivetran has successfully integrated a retrieval-augmented generation (RAG) chat system within Slack, simplifying tasks for sales and support teams. This demonstrates that while AI can automate query responses, the backbone still relies on effectively curating and consolidating data.