A lot of focus has been placed on delivering automated solutions with no human interaction. We however need to invest in more than just making machines smarter. We need to train our employees to become more sophisticated consumers of the outputs of their machines. Then, the network effect will begin to bringing more value out of data than ever before.
The biggest victories in the man-machine framework come when machine learning is appropriately delivered to respect the role of humans.
In the E-Discovery space, the better machine learning products actively learn from documents marked by human reviewers to produce continuously improved results expediting the review process
