IBM Watson is a technology platform that uses natural language processing and machine learning to reveal insights from large amounts of unstructured data.
Pfizer Oncology and IBM Watson
Pfizer Oncology, with the help of IBM Watson, is exploring cognitive computing technology. Together, we’ve built an application where you can ask questions about the findings within the Global Status of Advanced/Metastatic Breast Cancer 2005-2015 Decade Report and receive the most relevant answers accompanied by the data that support them.
The Importance of Feedback
To help advance Watson’s understanding of the content of the report, and help Watson get smarter, your feedback is imperative. For each answer provided to your question, Watson requests a ranking. This ranking, or score of the answer (1 to 5) to your question measures the degree to which evidence justifies or refutes the answer. Select 5 stars if the information provided correctly answers your question, or 1 star if it fails to answer your question.
How Watson Works
Watson follows the same logic and reasoning that we use every day.
Watson understands data—structured and unstructured, text-based and sensory—in context and meaning at astonishing speeds and volumes.
Watson has the ability to form hypotheses, make considered arguments, and prioritize recommendations to help humans make better decisions.
Watson ingests and accumulates data and insight from every interaction continuously. It’s trained, not programmed, by experts who enhance, scale, and accelerate its expertise, so it gets better over time.
Remember, your feedback is imperative for improving Watson’s ability to answer your questions. So, select 5 stars if the provided information correctly answers your question or 1 star if it fails to answer your question.