Related News

People walk next to the Google Cloud logo, during the 2025 Mobile World Congress (MWC) in Barcelona, Spain, March 4, 2025. Albert Gea | Reuters Google Cloud announced Thursday a

Every weekday, the CNBC Investing Club with Jim Cramer holds a “Morning Meeting” livestream at 10:20 a.m. ET. Here’s a recap of Thursday’s key moments. 1. Stocks were little changed

CNBC’s Jim Cramer said Thursday that OpenAI reminds him of the kind of speculation and leveraged, aggressive bets that caused the 1990s dot-com bubble to burst. “OpenAI is 2000 in

Meta CEO Mark Zuckerberg has repositioned the social media giant as an AI company. Vincent Feuray | AFP | Getty Images Meta Platforms shares popped about 6% higher on Thursday

Meta has been hit with an EU antitrust investigation over its use of AI features in WhatsApp, as the European bloc continues to ramp up challenges to US big tech

In a market that could soon be topping out, the best investment idea right now is cash, according to Dan Niles, founder of Niles Investment Management. The market moved higher

Trending News

In today’s digital age, the opportunity to make money online without any initial investment is more accessible than ever before. Whether you’re a student looking to earn some pocket money,

In today’s digital world, make money online has become a dream many want to turn into reality. Whether you’re looking for a side hustle or aiming to build a full-time

JSW Cement, the building materials arm of Sajjan Jindal-led JSW Group, has reduced the size of its upcoming initial public offering (IPO) to Rs 3,600 crore and will open the

The agricultural Gross Value Added (GVA) growth is expected to moderate to 4.5% in the first quarter of FY26, down from 5.4% in the preceding quarter, according to a report

Foreign portfolio investors (FPIs) turned net sellers in the Indian equity market in July, pulling out Rs 17,741 crore amid rising global trade tensions. According to data from NSDL, this

Avenue Capital Group-backed Asset Reconstruction Company (India) Ltd (ARCIL) has filed its draft red herring prospectus (DRHP) with markets regulator Sebi on Friday to raise funds through an initial public

Infosys AI push: IT giant’s poly-AI boosts productivity, cuts costs; manpower needs reduced by up to 35%

Word Count: 600 | Estimated Reading Time: 3 minutes


Infosys AI push: IT giant’s poly-AI boosts productivity, cuts costs; manpower needs reduced by up to 35%

Infosys is enabling clients to reduce manpower requirements by between 5% and 35% through the use of its hybrid artificial intelligence framework, known as poly-AI, according to a senior company official. Speaking to ET, Balakrishna DR, executive vice-president and global services head for AI and industry verticals, said the savings depend on the process, industry, and availability of data. “Anywhere from 5% to 30% or even 35% could be achieved depending upon a business process,” he said.The IT major has developed a flexible AI architecture that allows companies to shift AI solutions seamlessly across different models. This adaptability, Balakrishna said, ensures businesses are “not tying to one particular tool or a model” as new AI techniques emerge. The system helps organisations complete the same amount of work with fewer employees, boosting efficiency while lowering costs.Infosys has evolved its AI capabilities from assistive or co-pilot tools, designed to help employees by providing additional inputs, to autonomous agents capable of independent reasoning, planning, and execution. These agents can now perform end-to-end business operations, similar to human workers. “It is a digital twin for what people were doing. Of course, you need to have some human in the loop, reviewing the actions,” Balakrishna explained.The shift comes as tech spending slows, with clients demanding better results for lower costs, affecting revenue growth and margins for service providers, including Infosys and rival Tata Consultancy Services. To meet these demands, Infosys is building an agentic AI foundry and over 200 reusable agents for enterprise-wide use, aiming to deliver scalable, outcome-driven AI solutions.





Source link

Most Popular Articles