Machine learning for discovering conversation strategies and recovering from breakdowns

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'Conversations with data' is a design metaphor behind IBM Watson Analytics, which offers a broad set of predictive and exploratory capabilities. Watson Analytics' ultimate objectives are to engage data scientists in increasingly intuitive and natural ways by making systems easier to use and smarter in its analyses. In this research, we are going to lay the groundwork for a speech-based conversation model trained in Watson Analytics capable of learning and detecting the context of analysis. This model will have a number of important characteristics: a) context awareness, b) the ability to handle communication breakdowns or uncertainty, and c) adaptability. For example, in context awareness, the system will recognize a query such as "my revenue for 2013 broken down by product and location" to indicate the beginning of a new analysis unit,