Rajat Sharma, SVP and Global Head of Technology Ecosystem and Growth for Zensar Technologies. Read Rajat Sharma's full executive profile here.
On one side, business leaders today must contend with the power play between increasing interest rates, inflation and geopolitical tensions. On the other side, they have to watch the latest and greatest technologies accelerate the creation of new products and services.
What GenAI brings to the table is the capability of not only scanning, analyzing and learning from large amounts of data sets and creating predictions but also the ability to infuse the expertise of “structuring” and “storyboarding” in the same manner as a mature professional. This is all done based on the accuracy of prompts that users provide—that is, “prompt engineering”—to continuously train large language models .
1. GenAI can be infused across the development value chain from ideation to requirements to core development and testing then transformed siloed applications, infrastructure, data and security operations into a more integrated cloud operations model, incorporating the principles of site reliability engineering value chain.
Consider how this could impact mature and highly automated service desk operations by structuring even the most complex and ever-evolving SOPs to resolve advanced problems and bug fixing across infrastructure, apps, security and data in an agile and composable enterprise.
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