The Economic Impact of Transitioning to Hybrid Cloud for Analytics and Machine Learning
Analytics and ML performance and speed to results can be vastly improved when using a hybrid cloud that incorporates a modern database.
Analytics and ML performance and speed to results can be vastly improved when using a hybrid cloud that incorporates a modern database.
Chief supply chain officers that invested in innovative technology, such as hybrid cloud, AI-enabled workflows, and cybersecurity, outperformed their
The Vertica SQL database and in-database machine learning solutions support the entire predictive analytics process with massively parallel processing and a …
In this week's real-time analytics news: AWS and BMW partner to manage and analyze data from connected vehicles.
In this week's real-time analytics news: Teradata announced a complete cloud analytics and data platform, now with next-generation, cloud-native deployment and …
A hybrid cloud approach lets businesses essentially pick and choose the various aspects of their analytics and ML workloads that they want to keep on-premises …
Most IT professionals lack visibility into their hybrid and multi-cloud environments. And they have problems identifying all the cloud services in use in their …
Hybrid cloud deployments are the new norm, allowing workloads and data to run and reside on a combination of on-premises systems, private clouds, and public …
Red Hat and Accenture have extended their long-term cloud partnership, with new resources aimed at hybrid-cloud and edge computing
Before organizations start a cloud journey, they must first evaluate what their present internal infrastructure costs are in order to grasp the return on …