D I S S E C T I N G B U S I N E S S
competing strategies there. It’ s about asking the right questions and considering the various elements such as factoring in latency, predicting the outcome and whether it’ s a system that is used to keep people safe, such as monitoring somebody’ s health. 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.
Robin Ferris, Enterprise Architect, AI Lead at Pulsant
When carrying out AI inference, how do you create a digital infrastructure that helps strike the right balance between cost, speed and availability?
It ' s not necessarily about the regulations around AI, but instead it’ s about how AI will be manipulated and used going forward.
What steps should organisations take when planning for scaling?
This is a really hot topic for us at Pulsant because when working with our existing clients who are on their AI journey, as well as with new clients, it ' s really key to understand that if you’ re running AI workloads, you ' re fundamentally running a GPU which uses a lot of electricity. Organisations must question the level of scalability they desire and how
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 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?
Currently, the UK has a principlebased approach to AI, which means the government has laid down guidelines
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