‘Infosys has outlined 8 broad areas for AI’
Edited excerpts: What is Infosys’ AI-first approach? We have been working on AI for some time, with a lot of our initial investments in technologies like machine learning and deep learning. So, while a lot of work or the building blocks for AI were already in place, last year, we saw the potential of the foundational models. The AI-first strategy simply means that we are reimagining everything that we do from a business standpoint to incorporate AI.
There has not been a change in strategy. We were always focused on AI and that continues. It is just that with generative AI and with the launch of ChatGPT, AI has become consumerized which means anybody, even without the knowledge of AI, could use it.
The last time this happened was with mobile technology and that led to a significant push on mobile technology and the same is happening now with AI. This now has become a boardroom agenda and hence, we are also amplifying the potential of the technology and how it can influence business. Is Infosys building its own foundational models? At this point, we are creating fine-tuned models, which involves taking open models and applying an approach called narrow transformer to suit our needs.
Creating specialized fine-tuned models has been a good fit for a lot of our projects. In terms of creating our own foundational or base models, we are still exploring that option, but a lot of needs are met through the fine-tuned approach today. What kind of value or return on investment (RoI) is Infosys observing with its focus on AI at this stage? While I cannot share specific metrics in terms of RoI, I can tell you that we have recognized eight broad areas for AI applications that include software engineering, IT operations, business
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