Salesforce’s Agentforce 3.0 offers new observability for AI agents, but deeper, end-to-end workflow visibility is needed for complex multi-agent systems.
Agentic AI is the current darling of the tech world, but without the ‘gritty work’ of process design and orchestration, it is just a promise.
Adobe’s latest AI innovations, including GenStudio and LLM Optimizer, are enabling businesses to hyper-personalise customer experiences and boost visibility in AI-driven interactions.
Salesforce’s new AI pricing offers clear costs per action, but expect AI expenses to jump as vendors stop loss-leading and orchestration grows.
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.
As AI is progressively being adopted across every industry, organisations need to implement an AI Safe Use Policy as a first step to governing the adoption of the technology and mitigate its unique risks.
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.
