Connected data emerges as the foundation for trusted AI: theCUBE’s keynote analysis from Amplify
Enterprises are moving AI agents into critical workflows. But fragmented data is the silent blocker — and Workiva thinks it has the connective layer.
Why it matters
As companies deploy AI agents for high-stakes business work, the reliability bottleneck isn't model capability — it's access to unified, trustworthy data. This positions data integration platforms as essential infrastructure for agentic AI in the enterprise.
The key facts
9 to knowWorkiva positioning itself as connective layer across business systems
Fragmented records and undocumented knowledge cited as reliability limits for AI agents
Story frames agent deployment readiness as data-infrastructure challenge, not model-capability challenge
Keynote analysis from Amplify conference (vendor event; moderate credibility weight)
Connected data frames as foundation for agent reliability in enterprise
Fragmented records and undocumented knowledge limit agent capability
Story framed around agents handling critical business work
Amplify conference keynote (context, not primary data)
Conference date: September 15, 2026
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: Connected data gives artificial intelligence agents the context required to handle critical business work. Enterprises are beginning to assign AI more consequential tasks, but fragmented records and undocumented human knowledge limit what those systems can do reliably. Enterprise software company…