To remain competitive without unnecessary risk exposure, it is important that companies create a balance between AI innovation and AI adoption. ✅AI Innovation – continually test the boundaries by experimenting with advanced models and emerging capabilities. It encourages research and […]
Risk management
Cutting-edge AI models are increasingly ‘agentic’, meaning they are increasingly capable of autonomous action. What distinguishes AI agents is not only that they can be given higher-level goals and can independently plan a course of action to fulfil them, but […]
Once proprietary data is processed by a public AI tool, it may become part of the model’s training data, serving other users down the line. For example, in March 2023, a multinational electronics manufacturer was reported to have experienced several […]