With these complex ecosystems , with different infrastructures and sets of software , Langer describes how it is crucial to have the right software in place .
“ You have to have a unifying software that brings everything as a whole so that you don ’ t lose control and you still are able to run automation for management , monitoring , deployment , security all together .”
Real – time data and applied AI driving business value Real – time data and applied AI stand as the cornerstones of Atos ’ strategy to drive business value . Langer advocates for a lean approach to data management , focusing on essential data points to ensure cost – efficiency and scalability .
When it comes to extracting value from data , businesses should consider two things : the amount of data , and where the value comes from . To illustrate this , Langer uses the example of performing analytics using computer vision on video feeds .
“ You could say that you want the best camera to have the clearest picture , to make sure that the AI runs right and can detect a specific kind of dog , instead of just identifying a dog . But the business question is , do I need that quality , or do I need to know that information ?
“ If you are using a 4K camera instead of an HD camera , you are multiplying the number of pixels and therefore multiplying the amount of analytics that you want to run . Therefore , you are getting into a more expensive infrastructure , with more energy consumed , more maintenance and more potential failure points .”
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