.@imanageinc document mgmt since Oct '95, now w/ #machinelearning. Effectiveness = productivity, variety of tasks, use client data #JDCK17
#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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