What is IBM Watson and what are 3 of its capabilities?
Watson is IBM’s AI technology for business, helping organizations to better predict and shape future outcomes, automate complex processes, and optimize employees’ time. Watson has evolved from an IBM Research project, to experimentation, to a scaled, open set of products that run anywhere.
Why did IBM Watson fail?
Use high-quality, representative data One of Watson Health’s biggest setbacks was the revelation that its cancer diagnostics tool was not trained with real patient data, but instead with hypothetical cases provided by a small group of doctors in a single hospital.
Does IBM Watson still exist?
It was a potentially useful new diagnostic tool. But it turned out to be not useful or flexible enough to be a winning product. At the end of last year, IBM discontinued Watson for Genomics, which grew out of the joint research with the University of North Carolina.
What is unique about IBM Watson?
Applications for Watson’s underlying cognitive computing technology are almost endless. Because the device can perform text mining and complex analytics on huge volumes of unstructured data, it can support a search engine or an expert system with capabilities far superior to any previously existing.
How Watson is trained?
IBM Watson is a machine learning system, trained primarily by data as opposed to rules. As a system, it is best described as a heterogeneous ensemble of experts.
What is IBM Watson platform?
A New Platform for the Cognitive Business Watson Data Platform enables data-driven professionals to work together in a simpler way to quickly find new and unexpected insights that deliver business-changing results. The integrated Watson Data Platform features embedded, cognitive-assisted machine learning.
What are three applications of IBM Watson?
Here are five different types of applications where Watson is making an impact.
- Healthcare. The medical field is the sector that is likely being impacted the most by Watson.
- Finance. In the financial sector, Watson use is typically geared toward its question and answer capabilities.
- Legal.
- Retail.
- Fantasy Football.