5 best practices you need for A-1 cloud analytics
Supplied by SAS Institute Australia on Wednesday, 18 November, 2020
Data science is the future of analytics, and the cloud provides an important platform for machine learning and AI because of its scalability, flexibility and extensibility. As organisations mature in their analytics journey they will move to the cloud for both data management and analytics. As part of this move, you will need to consider a number of critical factors.
Examine a checklist of five best practices for utilising the cloud for data science — including evaluating use cases to run in the cloud, cloud computing architectures and planning considerations.
The 4 greatest challenges for virtual teams
Many teams now collaborate over the global network to bridge their geographic boundaries....
How the public sector can profit from digital experience platforms
The Australian public sector faces a combination of severe budget constraints, growing...
How to combat advanced persistent threat (APT) malware
Malware was once the pastime of script kids but it has turned into a profitable business with...
