AI Explainability: Available Techniques
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.
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.
Zapier’s new agentic AI, with ‘pods’ and ‘dashboards’, revolutionises automation by enabling low-code, adaptable, AI-driven workflows for businesses.
Salesforce’s $8 billion acquisition of Informatica aims to enhance its AI capabilities by improving data management, integration, and governance across its platforms.
AI in web dev changes WCM, impacting digital, web, UX, content, and e-commerce. Assess infrastructure, pilot projects, and invest in skills.
A critical analysis of AI trends, debunking vendor-driven myths and emphasising practical, business-oriented adoption strategies.
Graph AI is finally here, and it promises to fix many of the problems in current retrieval, augmenting generation AI services and improving accuracy, context, and reasoning capabilities.
While agentic AI is grabbing the headlines, graph databases are quietly revolutionising AI applications with their ability to capture complex relationships.
Enterprise platforms now embed industrial AI agents, shifting from bespoke solutions. ServiceNow focuses on governance; Salesforce on proactive automation, simplifying deployment and impacting various enterprise roles.
Chinese AI startup DeepSeek’s impressive, low-cost DeepSeek R1 model has drawn scrutiny over data practices and government ties, leading to an Australian ban on February 4, 2025.