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The Industrial IoT Attack Surface
Be Change Ready in an Evolving Manufacturing Vertical
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Art Sebastiano, CIO, SharkNinja Operating LLC
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Matt Meier, VP and CIO – North America, Whirlpool Corporation
Machine Learning in Manufacturing: Moving to Network- Wide Approach
Paul Boris, CIO - Advanced Manufacturing, GE
Internet of Things
Tom Basiliere, CIO, Provant
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How Can Manufacturers Benefit from Data Management Platforms
The manufacturing industry is experiencing a significant change in processes with shorter product release cycles, tighter budgets, and a diverse supply chain system. Smartphones have also allowed the manufacturers to offer mass personalization of products by bringing product catalog to the customers with the help of the web.
Manufacturing is a complex process as any required change in the product results in a variety of process updates that can kick off from shop floors, manufacturing execution system, enterprise resource planning systems, logistics, and other units. All of the aforementioned processes and updates results in the generation of vast chunks of data which carries vital information that helps manufacturing companies immensely. Organizations need to find solutions to streamline their data management to create a layer of visibility across the organization in order to reveal the workings of the process flow.
An effective data management system offers to streamline the data processing by overlaying all operations in a company. It helps in root cause analysis by combing back through the MES and ERP systems. A modern data management system offers several key attributes, which are as follows:
Ability to ingest large volumes of data: Internet of Things devices that are mounted on production equipment and other business applications create a large stream of data. Data management systems store this data in real-time in its original form so that the performance is not downgraded. These platforms do not require data indexing, reducing the layer of complexity that can obscure the value of the original data.
Cloud-based infrastructure: Storage and computation of the vast amount of the produced data require massive resources that can be expensive for companies. Modern data management uses cloud-based infrastructure, which allows them to ramp up or ramp down the computing power as required.
An array of applications: Data management platforms offer pre-built applications for system monitoring or alert management. These platforms also allow companies to operate on partner applications and tools to develop custom applications.