IBM Watson improves AI automation and increases NLP precision, C3.ai announced winners in its COVID-19 Grand Challenge, and more.
Proper DataOps practices can ensure data is handled efficiently and it can be accessed and leveraged by everyone in the organization who needs
How DataOps helps bring people closer to the data and sets up a springboard for faster, better business
A DataOps approach is about breaking down the barriers between people, technology, tools, and data to gain context and drive
DSP at its core is a collection of open-source Apache tools that Splunk has curated to create a unified platform that enterprise IT teams can more easily …
GreenLake Central is platform- and solution-agnostic, able to monitor, manage, and optimize cloud resources from Microsoft Azure, Amazon Web Services, and …
The framework can help organizations accelerate the move to DataOps by providing reference architectures that simplify
Data scientists spend nearly 40% of their time doing data prep and just 11% of their time finding the insights businesses hope
DataOps helps reduce the time data scientists spend preparing data for use in applications. Such tasks consume roughly 80% of their time
With DataOps, businesses will be able to make more informed, data-driven decisions.