The Cognitive Era for Supply Chains
Today's supply chains have tremendous challenges to handle all the data, disruptions and information to generate useful insights. IBM is 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 today's supply chains as well as a vision for the future for supply chains.
How machine learning works in supply chain
The potential benefits when applying cognitive applications in supply chain
See several use cases where cognitive is making a difference
•Rob Allan is a Program Director within the IBM Watson Supply Chain team and he leads the Supply Chain Insights offering management team. He has been with IBM for more than 25 years almost exclusively in supply chain consulting or supply chain transformation roles. Rob was the leader for IBM's Transparent Supply Chain initiative delivering a platform for IBM's supply chain that delivered a cognitive solution and single dashboard to identify and predict supply chain disruptions. Rob has graduate degrees in electrical engineering from NC State University and Mechanical Engineering from the University of South Carolina.