AI Explainability: More Than Trust
AI explainability goes beyond trust, fostering human oversight, collaboration, and control, especially for high-stakes decisions and system maintenance.
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.
AI in web dev changes WCM, impacting digital, web, UX, content, and e-commerce. Assess infrastructure, pilot projects, and invest in skills.
Workday’s embedded AI agents signal a shift in enterprise software, automating tasks and offering decision support. Success hinges on data quality and understanding real-world impact.