In many organizations, AI exists as a secret weapon. It’s essentially locked away in a box, brought out to work on a limited use case, and then put back into the box. However, using AI in this limited fashion eliminates the huge potential impact that AI can have across one’s business. This is where DataOps, short for data operations, can help.
DataOps borrows heavily from DevOps, which is defined partly by the tools used to automate management, testing, deployment, and replacement of code, as well as a culture of velocity and agility. Companies that figure out how to use DataOps techniques to center their new AI data products against unified data stores can democratize AI in their businesses – and gain a potentially lucrative advantage.