Infosys To Develop The Best Innovative AI Technologies
Infosys has established AI innovation laboratories and factories with clients to develop innovative AI technologies.
Infosys, India’s second-largest IT business, has established artificial intelligence (AI) innovation laboratories and AI factories with key clients to incubate and grow the emerging technology, according to a top executive. The laboratories track, appraise, and establish evidence of value for emerging AI technologies within the company, whereas the AI factory produces and scales these solutions across business lines.
The statements are significant in light of a recent report by the research department of the information technology giant, which revealed that more than half of AI use cases now generate measurable effects. According to the report, 19% of AI use cases achieve all of their business objectives, while another 32% show potential by reaching some of their objectives.
“In addition, as we use AI to reengineer core business processes, our ways of working must change to realise the value,” Rafee Tarafdar, Chief Technology Officer of Infosys, told journalists.
However, Tarafdar, who has worked at the Bengaluru-based firm for over 20 years, believes that data preparedness is essential for the above to function and generate value.
The organisation can support its AI objectives by improving its existing data architecture with a structured approach. “We see that a significant effort has to be spent in this space, and at Infosys, we have a data readiness for AI framework that is helping our clients transition to the right architecture,” said the executive.
The announcement is a step forward for Infosys, as Tarafdar informed media sources on October 30, 2024, that clients demand AI capabilities to be included in significant transactions. “Today, there is also a lot of pressure that our clients are under from their boards and CXOs to show some Gen AI capabilities and start making some difference,” Tarafdar told.
Services are the dominant industry in terms of adoption of AI use cases, followed by hi-tech, telecommunications, life sciences, financial services, and logistics. Currently, the majority of the top AI use cases are in software engineering, business and IT operations, fraud risk and compliance, cybersecurity, customer support, and finance, he explained.
Nonetheless, the services exporter’s March 31 survey revealed that only 16% of organisations had adopted adequate change management and employee training for AI. The executive went on to say that all AI investments must be regularly evaluated based on their outcomes and efficacy.
Infosys has used an evidence-based value approach to achieve this. The CEO stated, “The accuracy of Gen AI solutions is constantly improving, with better releases of models and human feedback to refine them further.”
Agentic AI
At a time when India’s leading IT firms are banking heavily on Agentic AI by 2025, Infosys is seeing an acceleration in the application of Agentic AI across its clientele, altering business operations and creating new value creation.
Agentic AI is a step advance from classical AI in that it can make decisions, plan, and reason on its own to do user-defined tasks with minimum human participation. Unlike traditional AI, which processes data using established rules, agentic AI may take actions and make decisions autonomously, similar to how a robot organises and executes tasks without human intervention.
And Tarafdar said, “Agenttic AI is being used in deep research for customer service, financial auditing, eKYC during customer onboarding, credit risk decisioning, investment banking research, migration and modernisation, software engineering lifecycle, IT operations, and cybersecurity operations right now.”
