Accelerating Industrial DataOps to optimize Data Management and IoT Scalability – a catalog of case studies
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
[Research paper] The business impact of edge computing and IIoT on data management
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