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.
7 workplace myths that hold your business back
This white paper looks at seven workplace myths that are commonly misconstrued in the...
The Experience Economy — how will it impact your IT team?
Examine valuable insights that emerged from these sessions. Discover the top five...
Edge computing — the future of IT?
Edge Computing is pushing the frontier of computing applications, data and services away from...
