Why enterprise AI keeps stalling — and how data streaming could unlock it
Summary
Enterprise AI projects stall largely because business data remains fragmented across databases, SaaS tools, and warehouses, and security controls prevent safe real-time access. Confluent launched Confluent Intelligence and new Confluent Cloud features to make real-time data streaming a secure foundation for AI apps and agents, adding managed MCP server, agent skills, a dbt adapter, and built-in PII detection/redaction. The updates emphasize safer developer workflows, private backbone connectivity for cloud-hosted systems, and stream-native model interactions to close the gap between demos and production. Confluent positions these capabilities to help industries like financial services move from batch detection to adaptive, near-instant decisioning.
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