within their organisation but also created multiple solutions for our customers .”
Mr . Gupta agrees : “ Most of the products in the IBM security portfolio have been used within Cognizant as well as for our customers , and the most important aspect of that relationship is the launch of our Cognizant threat defence platform – the core of which is IBM ’ s QRadar .”
The ethical aspects to consider Knowing that the IBM-Cognizant partnership is longstanding and will continue to provide differentiated services for years to come , the industry ’ s next question is robustness and ethics . While many organisations expand into AI , IBM differentiates itself by light years by focusing on Responsible AI .
Gen AI brings multiple risks , and Dr . Muppidi highlights data security and privacy as an example . “ Ethics is just one aspect of the risk – there are several other things . We use a simple framework for securing Gen AI to ensure we look at the complete AI solution .”
With this , he explains a rather unusual analogy that outlines accountability and transparency to ensure the right Gen AI for the right purpose . “ How do you ensure that it ’ s accountable and governed ? It ’ s very similar to adding the nutritional label on a bag of chips to enable the right snack consumption ,” says Dr . Muppidi , whose description of accountability seems to liken itself to transparency .
This accountability allows both IBM and Cognizant to gain a greater understanding of AI ’ s future , particularly regarding protecting businesses and their assets . Their roles as key leaders of global
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