MapR Technologies, Inc., provider of the Converged Data Platform that integrates analytics with operational applications in real time, unveiled a DataOps-driven breakthrough approach to governance in ...

STAMFORD, Conn.--(BUSINESS WIRE)--The expanding use of AI is driving enterprise interest in data operations (DataOps) to orchestrate data integration and processing and improve data quality and ...

我刚开始接触机器学习领域时，认为将模型部署到云环境是最大的挑战。我当时觉得，我只需要把在 Jupyter Notebook 中训练好的机器学习模型部署到云端，就 万事大吉了。 我错了。 起初，一切都按预期进行，大家都对部署的模型感到满意。然而，几个月后，当我 ...

In this data-driven world, it is not the one who has the most data that wins, but the one who best organizes and uses it. That is why, as IT leaders, it's time to make the shift from IOPS to DataOps.

Today’s north star is the autonomous digital enterprise, characterized by three traits: business agility, customer centricity and the ability to drive decisions with actionable insights – three traits ...

Today’s organizations are committed to collecting and analyzing as much data as possible from sources new, old and evolving. But they continue to have variable levels of success distilling and ...

One of the biggest analytics stumbling blocks for biomanufacturers is the need to prepare data in a way that makes it accessible to analytic systems and valuable to end users. Implementing a DataOps ...

DataOps, or an approach to quickly deliver data and accelerate deployment of analytics solutions, can be a key driver in accelerating data analytics democratization. Though ideal, it's not without ...

Systematic data management investment and effort is associated with outsized returns on data-driven initiatives, according to a newly released report on DataOps from BMC Software. Further, large ...

A relatively new approach, DataOps represents a change in culture that focuses on improving collaboration and accelerating service delivery by adopting lean or iterative practices. Unlike its close ...