IBM Watson

Why is this important?

The IBM Watson ecosystem enables developers to include artificial intelligence to their services. Examples range from personalised health care advice to accelerated R&D to automated customer support. A key point to keep in mind is that the whole ecosystem is learning. As the ecosystem grows and more use cases are added, the quality and the range of things IBM Watson can do increases.

Things to keep an eye on

As the number of sensors and connected devices grows, the amount and ubiquity of data increases and this benefits machine learning services such as IBM Watson. Therefore it is useful to think how much data is gathered and where it is gathered. Another thing to consider is the potential public backlash from seeing artificial intelligence as a creepy ”big brother”. In addition, the question of who owns the data is crucial.

Selected articles and websites

IBM Watson ecosystem
R&D support: Inno360
Condé Nast Has Started Using IBM’s Watson to Find Influencers for Brands
Next Target for IBM’s Watson? Third-Grade Math

Mikko Dufva

Research Scientist VTT Technical Research Centre of Finland Ltd
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