FEATURE : AI
WHAT A SUPERCOMPUTER CAN DO IN THREE DAYS , AI CAN DO IN THREE HOURS . begin to increase . The focus then shifts to reducing this cost , which is when a private cloud is considered .
There is no right answer and everyone is at a different stage in the development journey . It ’ s about sourcing the information required to make the right decisions at the right time .
What are the key regulations organisations should be aware of when practicing AI inference ? that is used to keep people safe , such as monitoring somebody ’ s health .
When carrying out AI inference , how do you create a digital infrastructure that helps strike the right balance between cost , speed and availability ?
My experience has shown me that it depends where people are on their AI journey . A lot of the R & D and initial processes can be carried out locally now . However , as people scale up and their workloads come to production , they ’ ll often go through public clouds like Azure , AWS and GCP , but they see their costs
Currently , the UK has a principle-based approach to AI , which means the government has laid down guidelines for regulatory authorities to help them understand what needs to be taken into consideration as we progress .
AI is still relatively new when it comes to this industry , despite it being around for some time . If you were to look at it purely as data , there is nine times as much private data as there is publicly available data and the majority of AI systems are now dealing with private data . Data and the laws around it have been in existence for a while and it ’ s those fundamental principles of keeping things secure – such as encryption at-rest and encryption in-transit .
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