Businesses are shifting from a ‘knowledge’ to an ‘innovation’ economy, with AI driving new ideas, customer engagement, and operational efficiency.
AI video tools, like early desktop publishing, offer huge potential, but smart adoption needs a clear strategy, skilled people, and pilot programmes to ensure real business value.
Most artificial intelligence proof-of-concepts fail in production due to underestimated costs, dynamic data issues, governance, and integration challenges. Tackle these early for success.
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.
As AI is progressively being adopted across every industry, organisations need to be more transparent with their stakeholders on how they collect, process and protect their private information.
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.
