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1. It is very hard to assign computer-understandable meaning to information, it’s “just” data, without context or meaning. With the semantic revolution ahead, we're headed towards a model-based information-centric future.

2. It is very hard to build and use rules engines; it's still not easy half a century later after prolog was invented in the 70'ies. Datalog seems to be gaining traction in the knowledge graph space which brings hope for a better future. But easy will take a while.

3. It is very hard to collaborate on high quality structured information, coders have “Github”, but the rest of us don’t... The thing is that information consists of facts, each fact has meaning, context and structure. That needs to be preserved when communicated. Github-like collaboration is key