IBM Watson: Beyond Jeopardy with Adam Lally
In 2011, IBM introduced Watson, a computer system capable of quickly and precisely answering natural language questions with accurate confidence estimation. Watson was victorious against the world's best Jeopardy! players in a formal contest that was aired on national television. Watson's public performance heralds a future where we can efficiently tap into the wealth of knowledge buried in text and other unstructured data sources. IBM is now exploring new applications of the Watson technology including clinical decision support in healthcare.
What You'll Learn About:
- Architecture of the Watson Question Answering System
- Using the Apache UIMA framework for building natural language processing systems
- New challenges for Watson in the healthcare domain, and how IBM is addressing them
Adam Lally is a Senior Technical Staff Member in the Watson Technologies department at IBM's T. J. Watson Research Center. Adam is an experienced systems architect and software developer. As an original member of the DeepQA project, he helped develop the Watson system architecture that gave the machine its speed. He also worked on the natural language processing algorithms that enable Watson to understand questions and categories and gather and assess evidence in natural language. Before working on Watson he was the lead software engineer for the Unstructured Information Management Architecture (UIMA) project, an open source platform for creating, integrating, and deploying unstructured information management solutions.