This advisory paper offers a tech maturity model for higher education, from basic to optimising, helping institutions benchmark and prioritise tech investments.
Explainable AI offers diverse techniques like LIME, SHAP, and counterfactuals, crucial for building trust, meeting compliance, and empowering staff to collaborate effectively with AI systems.
AI explainability goes beyond trust, fostering human oversight, collaboration, and control, especially for high-stakes decisions and system maintenance.
Despite the hype, true AI agents are elusive. They lack causal understanding, limiting effective autonomous action in varied environments.
Latest report assesses GenAI vendors on six key ethics metrics like safeguards and transparency, covering updated solutions comprehensively.
Special Report: The IBRS framework technically evaluates GenAI trust via six core metrics, guiding model selection based on specific project risks.
Voiceform uses AI-powered voice capture to get richer, nuanced qualitative insights at scale, transforming traditional surveys and unlocking dark data for better business intelligence.
IBRS’s AI-enabled process maturity model addresses AI integration complexities, guiding organisations beyond traditional methods for strategic, value-driven adoption.
GenAI architectures rapidly diversify; executives must grasp technical differences for strategic, efficient deployment.
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