[av_heading tag=’h1′ padding=’10’ heading=’Opportunities to Reveal Hidden Insights for Supply Chains through Machine Learning ‘ color=” style=’blockquote modern-quote modern-centered’ custom_font=” size=” subheading_active=” subheading_size=’15’ custom_class=”][/av_heading]
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Today’s supply chains have tremendous challenges to handle all the data and information to generate useful insights. We are seeing the value of developing correlations and predictive factors across structured and unstructured data sets to reveal valuable predictive and responsive insights. We will share how this progression looks in several use cases and explore how this could be applied to the logistics area as well as a vision for the future for supply chains.
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[av_heading tag=’h1′ padding=’10’ heading=’Presenter’ color=” style=’blockquote modern-quote modern-centered’ custom_font=” size=” subheading_active=” subheading_size=’15’ custom_class=”][/av_heading]
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[av_team_member name=’Rob Allan’ job=’Global Lead, Supply Chain Analytics Offering for Watson Supply Chain, IBM’ src=’http://globalsummit.uscsupplychain.com/wp-content/uploads/2017/03/Rob-Allan-180×180.jpg’ attachment=’3398′ attachment_size=’square’ description=” font_color=” custom_title=” custom_content=”]
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