Will context fuel the next AI revolution? - Data Matters

Imagine the possibilities when AI can handle ambiguity, she says. Business and governments are turning to Artificial Intelligence (AI) to automate and improve their decision-making and uncover multiple opportunities. The problem is that AI has been effective in powerful, but narrow, contexts, on applications where it can do one thing extremely well. An increasingly promising approach for teaching AI systems to be more intelligent is by extending their power with graph technology. Because graphs help us better understand and work with complexity, as it's a technology uniquely suited to managing connections. Context is the information that frames something to give it meaning.