The document introduces the concept of semantic intelligence, which represents the ability to process data and information based on semantic patterns and rules to gain insight. It also represents the ability to harness shared knowledge in a more efficient, automated way across organizations. Semantic intelligence is defined as supporting complex data relationships, combining structured and unstructured data, complex visualization, rules and knowledge collaboration. It has the potential to unify analytic approaches and technologies to provide a more specific set of solution expectations.

4. The Premise Words help us to describe complex concepts without quite so much explanation or research…

7. Learning from shared experience or knowledge is how civilization evolved. IT needs to embrace a paradigm that doesn’t always require building solutions from scratch everywhere at the same time.

10. What if much of the discovery we engaged in online followed predetermined search paths or highways?

13. Watson demonstrated a number of key capabilities associated with Semantic Intelligence including intelligent search, inference and assignment…

16. Definition, planning and coordination need to occur not just at the individual solution level but also the meta-solution level – if one wants or expects wide adoption for a meta-solution framework.

20. Thought Leaders, Enterprise Solutions Providers…