They say great ideas are born out of necessity. The data & analytics field is no exception. Although DataOps is seen as a fairly new and disruptive methodology, leaders in data and AI pioneered in finding more efficient, agile and easier ways of designing data pipelines long before it was incarnated into a defined concept.
Enterprise AI and algorithmic processes require perfect synchronisation and agility. This is where DataOps comes in the picture – as a single point of contact when something goes out of sync.
DataOps has already gotten the epithet “enterprise data management for the AI era”.
DataOps is enterprise data management for the AI era. It’s one of the fundamental pillars of a modern data management strategy.
Despite the very known importance of making the data readily available, relevant and high quality, many organisations still fail to grasp the value of it and have a solid data governance programme in place in 2020.
Artis Taylor, Manager IT at FedEx Logistics will be presenting on this topic in his presentation on Enabling DataOps in the Cloud at the Data Innovation Summit, where he will elaborate on DataOps implementation as the journey to the cloud. We talked to Artis to get more information before his session.
DataOps emerged as a solution for bringing the battle-proven combo of developers and operations into the data processing and eliminating silos between developers, data scientists and operators.
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