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Forbes

AI Development Issues Synthetic Data Can Help With

As AI systems advance, training them presents challenges like privacy risks when using real-world data. Synthetic data offers a solution with clean, scalable datasets that can bypass these issues. Forbes Technology Council members discuss how synthetic data helps overcome barriers like cross-silo collaboration, enabling data sharing and improving AI model stability.

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Forbes

Supporting Company Adoption Of Self-Service Analytics

Rolling out self-service analytics requires more than tech upgrades; it’s a shift in work culture. To empower teams to make data-driven decisions, leaders must provide ongoing training and support. Forbes Technology Council members, including CAI CTO Matt Peters, suggest strategies like role-specific guidance, on-demand help, and AI in analytics tools.

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ReWorked

UiPath's Automation Vision Shift From RPA to Agentic AI

Agentic automation combines AI, RPA, and orchestration to enhance productivity and reduce human intervention. Autopilot and other tools support dynamic workflows across siloed systems, requiring developer oversight. CAI CTO Matt Peters highlights the need for cultural readiness, transparency, and a 'glass box' approach to manage risks and facilitate adoption.

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