Manufacturing and Supply Chain Summit: Data Analytics and AI at the Edge Image

Manufacturing and Supply Chain Summit: Data Analytics and AI at the Edge

Actionable Benefits

  • Get ideas for data analytics projects for manufacturing plants based on use cases outlined in different verticals.
  • Understand the two different deployment models for data analytics at a manufacturing plant.
  • Hear about issues and considerations when looking to utilize data analytics.

Critical Questions Answered

  • The direction of travel for adoption of different types of analytics software, underpinned by machine learning and AI, that provides prescriptions and recommendations rather than simply reporting issues.
  • The use cases that data analytics can support.
  • The outcomes that can be achieved from deploying data. 

Research Highlights

  • The drivers fueling manufacturers investments in data analytics
  • Five-year forecast covering the different types of data analytics (description, predictive, prescriptive)
  • 6 examples from leading manufacturers who have utilized data analytics in their operations.
  • How key companies in several different verticals are looking to data analytics to improve their operations.

Who Should Watch This?

  • Vendor marketing teams looking to understand factors shaping the market and manufacturers’ objectives.
  • System integrators looking to understand spending trends and to identify potential types of engagements.
  • OEM hardware suppliers to identify ways in which their servitization strategies could assist their clients.