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 10 greatest mistakes to make with collaboration
Collaboration is all the rage among corporate executives these days. There are multiple...
8 key considerations for a successful mobile strategy
The key for a successful enterprise mobility plan is a well-defined strategy. One that is cost...
