#JDCK17 2:45pm – Rafiq Mohammadi of @imanageinc “Content Enabled Apps Powered by Deep Learning”pic.twitter.com/Ct3gxXe4El
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#DeepLearning examples: @facebook facial recognition, @Amazonecho #selfdriving cars, etc. #JDCK17 #JDHorizons
1st task in #MachineLearning is to read all the content. Then apply algorithms, but need to deal w/ differences in docs & group them #JDCK17
When @imanageinc has document clusters, classifying the content w/ legal provisions pulls out entities, #deeplearning now possible #JDCK17
How do you use this? KM + #MachineLearning means you can curate knowledge automatically, build from expert analysis #JDCK17 #JDHorizons
If you can write a task as a recipe, it's something that can be automated. #JDCK17 #JDHorizons
Integrate local knowledge w/ full capabilities of #machinelearning - see what other cognitive tasks could it do? #JDCK17 #JDHorizons
Consistency: doesn't get tired or have time limits. Frees humans for higher cognitive problems that virtual assistants can't replace #JDCK17
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