Connected data emerges as the foundation for trusted AI: theCUBE’s keynote analysis from Amplify
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 Workiva Inc. is positioning its platform as a connective layer across business systems while…
Connected data and business context are essential for trustworthy AI agents, as highlighted by Krista Case, principle analyst at theCUBE Research, during the Amplify event of Workiva Inc. Enterprises are increasingly assigning AI more critical tasks, but fragmented records and undocumented human knowledge limit the systems' reliability.
Workiva's platform aims to serve as a connective layer across business systems, expanding beyond financial reporting into risk, compliance, and sustainability. AI agents require a fuller understanding of the business conditions surrounding each task to produce defensible results. Trust in AI agents becomes more challenging as they move beyond analysis and start completing multistep processes like preparing regulatory filings.
Companies must validate the source data and understand the AI agent's decision-making capabilities. Connected data turns isolated figures into accountable business records, providing the necessary context for AI to produce accurate and repeatable outcomes.
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