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Scalable AI Impact: From Trusted Data Sharing to AI-Ready Companies
Anna Derevianko
High-quality AI needs high-quality data. Anna (IDSA) shows how trusted data sharing becomes enabler for AI: agentic AI uses enterprise data while control and IP rights stay with the data owner. That assurance builds trust, the basis for trustworthy agentic participation in data spaces. With the DataPACT AI Compliance Framework and AI Compliance Toolbox, companies become AI-ready and AI-Act-compliant during implementation rather than afterwards.
High-quality AI needs high-quality data. Anna (IDSA) shows how trusted data sharing becomes enabler for AI: agentic AI uses enterprise data while control and IP rights stay with the data owner. That assurance builds trust, the basis for trustworthy agentic participation in data spaces. With the DataPACT AI Compliance Framework and AI Compliance Toolbox, companies become AI-ready and AI-Act-compliant during implementation rather than afterwards.
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