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2019 IIoT/Cloud Webcast Series

IIoT/Cloud series, Part 1: Five ways to use Cloud and IIoT to drive productivity
Thu, Apr 18, 2019 2:00 PM EDT

Technology advance is only good if it makes you better.

The industrial Internet of things makes use of at-the-process sensors, gateways, devices, actuators, and microcomputers connected by networks, wireless or otherwise, to computing systems. Cloud computing enables on-demand network access to a shared pool of configurable computing resources, provisioned and released with minimal management.

  • Jonathan Gross, Managing Director, Pemeco Consulting
  • Eric Kimberling, CEO and founder, Third Stage Consulting Group
  • Moderator: Kevin Parker, Senior Contributing Editor, CFE Media LLC
Epicor, Infor, Oracle + NetSuite

IIoT/Cloud series, Part 2: AI on a chip, AI in the cloud
Thu, Jun 20, 2019 2:00 PM EDT

For the manufacturing and process industries, use of artificial intelligence can be categorized into real-time process control applications (AI on a chip) and Big Data enterprise applications (AI in the Cloud). In fact, artificial intelligence isn’t new. Supply chain planning systems, for example, apply machine learning techniques to the classic computational problem of optimized routings. We’re just getting started, however.

As a general-purpose technology, manufacturing and process industries will see AI-driven productivity gain through faster model training, AI-based automation, and enhanced real-time closed loop systems. Demand planning, scheduling, and supply chain management will take on new dimensions. Tune into this webinar to learn how artificial intelligence is being used on plant floors and in the business enterprise today and hear how its use will grow in the very near future.

  • Ed Kuzemchak, Chief Technology Officer and Director of IoT, Software Design Solutions, Inc.
  • Kevin Parker, Moderator & Senior Contributing Editor, CFE Media & Technology
IIoT/Cloud series, Part 3: Introduction to machine learning
Thu, Aug 15, 2019 2:00 PM EDT

What engineers, operations personnel, and managers must know.

Machine learning is a kind of artificial intelligence that uses statistical methods to let computers “learn” using data, without being explicitly programmed. However, machine learning is a synergistic exercise between man and machine, requiring human application of the scientific method and requiring communication skills, not to mention a vocabulary suited for collaboration with information technology departments and data scientists. In this webinar, we’ll discuss the emerging machine learning paradigm for process control and enterprise management, as well as examine some real-life case examples that are already delivering results.

  • Ed Kuzemchak, Chief Technology Officer and Director of IoT, Software Design Solutions, Inc.
  • Kevin Parker, Moderator & Senior Contributing Editor, CFE Media & Technology
IIoT/Cloud series, Part 4: IIoT-based analytics in the enterprise
Thu, Oct 17, 2019 2:00 PM EDT

Choose a partner before you choose a product.

Major enterprise and process control software suppliers are introducing comprehensive analytics suites for engineering, operations, and managers, and they’re doing so at a rapid clip. At the same time, start-ups, specialty software vendors, and consultants are focused on specific applications for process control, manufacturing execution, and business enterprises. But getting started with IIoT and analytics isn’t like implementing temperature or level control. It requires deliberation as to what can be accomplished an requires collaboration with experts.

Tune into this webinar to learn about the different manufacturing and process industry roles increasingly supported by analytics and how to plan for the comprehensive use of IIoT-based analytics in the industrial enterprise.

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