DataOps is a new category of software solutions that address the data architecture needs of industrial companies as they adopt Industry 4.0, Digital Transformation, and Smart Manufacturing. DataOps solutions perform data contextualization and standardization and provide secure data flow to the various consuming applications running at the Edge, in on-premises data centers, or in the […]
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The promise of Industry 4.0 has many manufacturing leaders thinking big. They envision a future in which real-time access to data opens the door to unprecedented levels of operational flexibility, predictability, and business improvement. For many, early-stage wins often lead to larger projects that stall or fail to scale because their data infrastructure couldn’t support […]
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Industry 4.0 adopters in factories around the world recognize that industrial data is gold. More users and systems want access to this data in real time to convert it into valuable information they can act on to predict machine failure, prevent downtime, improve product quality, and meet sustainability goals. IDC projected there will be 41.6 […]
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Most industrial IoT difficulties are rooted in data management shortcomings. However, these challenges are not the same as those faced in a purely IT setting. For example, operational technology (OT) data is high-velocity time series and event information that many times lacks the detailed metadata descriptors and features needed to leverage it outside of the […]
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IIoT practices are having an impact, but Developers struggle to scale successful AI/ML projects. WHY? Data management is many times the culprit. Industrial OT and Business IT are not the same. For example: Business data is delivered in batches or transaction records complete with metadata descriptors but lacking synchronous time stamps for correlation. Industrial OT […]
Read more →![[Research paper] The business impact of edge computing and IIoT on data management](https://iiot-world.com/wp-content/uploads/2021/10/big-data-technology-business-finance-concept-1024x625.jpg)
DataOps methodology – with the goal of delivering more agile and automated approaches to data management – seeks to enable organizations to control and leverage data ranging from edge to core to cloud. DataOps is not just theoretical in its objectives: improving business agility and automating business processes rank high in terms of responses when […]
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