Aspects of context such as location, profile, preferences, transaction history, social media handles, etc. are referred to as the Context … More

Context requires lots of data, gathered over time, curated and annotated properly, from multiple sources on the context dial. Enough … More

Using machine learning within a context engine to provide contextually relevant information.  Provide a relevant response that may vary along … More

Use a cloud-based data lake along with a graph database , rules and machine learning to provide a contextually relevant … More

This refers to metaphorically as to how much light is shone around a given piece of data.  Number , currency, … More

Obtaining data from multiples sources, to consolidate and fit parts of a jigsaw puzzle to create a probabilistically more holistic … More

  Infuse big data analytics and machine learning into traditional software engineering best practices. Instead of just programming using conditional … More