Original air date March 23, 2021

Overcoming Big Data challenges at the industrial edge

Attendees are eligible for a certificate of completion.

It seems that everyone is talking about Big Data to capture and analyze data. Big Data gathered across the enterprise promises to help you solve big business problems, anticipate issues before they happen, and increase efficiencies. But Big Data can also be a big challenge – that is unless you have a little data approach enabled by industrial edge technology.

Industrial edge technologies convert costly, complex Big Data solutions into affordable, manageable little data applications, where problems are clearly identified and rapidly solved.

Industrial edge redefines the traditional control model by integrating OT and IT technology to maximize increase the speed of decision making and time to results. This evolution brings together real-time capabilities of modern PLCs/PACs and high-performance computing to create new possibilities for tackling today’s IIoT and digital transformation challenges. Start small at a machine, scale to plant-wide analytics, and invest incrementally within one platform.

Learning objectives:

  • Understand how your business can leverage edge hardware and software solutions to solve Big Data challenges.
  • Look at how to start at the machine level to achieve greater efficiencies and reduce losses and waste.
  • Learn how HMI/SCADA and plant analytics software can be integrated into edge solutions to create comprehensive data, analytics and visualization ecosystem.
  • Review what’s needed to begin and when to ramp up to a wider Big Data application.

Presented By:
Derek Thomas, vice president, marketing and strategy, machine automation solutions, Emerson Automation Solutions
Rich A. Carpenter, general manager of automation software, Emerson Automation Solutions

Moderated By:
Mark Hoske, Content Manager, CFE Media and Technology

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