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Time of India
2 days ago
- Business
- Time of India
Tech firms embrace agentic AI, drives faster code transformation
Tech companies are evaluating the benefits of deploying AI agents to augment developer productivity while broadening their GenAI implementation. These intelligent systems are being utilised across diverse functions, spanning from programming to systems transfer. Anupam Mishra, director of Developer Programs, AWS India and South Asia, said that these agents are successfully executing moderate-complexity coding assignments. Their functionalities extend to test case creation, documentation generation, security flaw detection, and solution development. At the recent AWS Summit Bengaluru 2025, Mishra informed TOI that his AWS teams achieved four times faster migration from .NET (pronounced dot net ) to Linux while working with clients. The cloud services company's product demonstrated an 83% quicker conversion of older Java scripts to newer versions for their client Persistent Systems. "We have a case study where several teams converted their Java code from older versions to newer versions. Amazon developers saved 4,500 years of manual work and $260 million annually from performance improvements by using our Amazon Q Developer Agent for code transformation to migrate over 30,000 applications from Java 8 or 11 to Java 17," he said. Mishra said the average time to upgrade an application to Java 17 plummeted from typically 50 developer days to just a few hours. "In under six months, Amazon upgraded more than 50% of its production Java systems to modernised Java versions at a fraction of the usual time and effort. Amazon developers shipped 79% of the auto-generated code reviews without any additional changes. As we use AI extensively, mundane tasks like writing test scripts will be taken away from the coder," Mishra said. Arun Parameswaran, EVP & MD of sales at Salesforce South Asia, said that agents generate 30% of code, expected to reach 50% by year-end. Their AI product for creating autonomous AI agents achieved 93% accuracy for a European airline client. For Salesforce's helpline, agents handle 84% of queries, with escalations reduced by half. Their CodeGenie model has processed over 7 million code lines, addressed 500,000 developer queries, and saved 30,000 monthly hours, enhancing developer efficiency and reducing costs. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Giao dịch vàng CFDs với mức chênh lệch giá thấp nhất IC Markets Đăng ký Undo Cognizant earlier reported that agents write 20% of code, with plans to increase this proportion whilst passing AI-derived cost benefits to customers. US-based Constellation Research's principal analyst Ray Wang indicates that with agentic AI , code can be written using 20% of developers, achieving 50% higher productivity, while testing requires 40% fewer personnel. "We are seeing fully automated software development life cycles. In a world of exponential efficiency, IT services startups are delivering $1 million revenue per employee today and expect $5 million in 3 years," Wang said. IBM, in its proxy filing, said it achieved over $3.5 billion in annual productivity run-rate savings since 2022. Speaking at the IBM Think 2025 event in the US last week, its CEO Arvind Krishna said that in the long run, 'productivity is everything' and there is an 'insane need to go fast'. That is where agents come into play. According to Krishna, IBM's AI products Spyre and Telum, when used to detect fraud in financial transactions, could save $190 billion. Nasscom's recent GenAI report highlighted India's tech industry leading in agentic AI readiness, from vertical solutions in legal or pharmacovigilance processes to multiple platform-based use cases. AI Masterclass for Students. Upskill Young Ones Today!– Join Now


Time of India
09-05-2025
- Business
- Time of India
AWS expanding AI offerings, developing dedicated industry solutions
Amazon Web Services (AWS) is expanding its AI offerings to position itself as a key enabler for organisations looking to harness generative Artificial Intelligence and advanced cloud solutions. According to a company official, it is clear that one foundation model would not fit every use case, even as the adoption of generative AI is accelerating. On the sidelines of the AWS Summit here, Head of Solution Architecture at AWS India and South Asia, Satinder Pal Singh said, "Our investments and operations in India are enabling customers of all segments to experiment and build technology applications and platforms, re-invent industries and their business models, and power their growth." AWS is continuously expanding the breadth of models available on Amazon Bedrock based on customer feedback, he said, adding that with the introduction of Amazon Nova, AWS now offers a new generation of foundation models that deliver multimodal intelligence and content creation capabilities. Singh believes that while generative AI is transforming how information is created and analysed, the rise of agentic AI will fundamentally reshape the nature of work itself. Further, he noted that this rapid transformation will be fuelled by upskilling the workforce with future-ready skills. "Skilling workforce with future skills will continue to be a priority for all businesses. Across India, the need for urgent digital skills training remains a key priority for industry and government. AWS has trained over 5.9 million individuals in India on cloud skills since 2017," he said. AWS established its presence in India in 2011 and has Zepto, Paytm , Razorpay and SonyLIV, among others, as its clientele. The firm has committed to invest $16.4 billion (about Rs 13,87,25 crore) by 2030 to fuel growth and digital transformation in India.


Time of India
09-05-2025
- Business
- Time of India
AWS expanding AI offerings, developing dedicated industry solutions
Amazon Web Services (AWS) is expanding its AI offerings to position itself as a key enabler for organisations looking to harness generative Artificial Intelligence and advanced cloud solutions. According to a company official, it is clear that one foundation model would not fit every use case, even as the adoption of generative AI is accelerating. On the sidelines of the AWS Summit here, Head of Solution Architecture at AWS India and South Asia, Satinder Pal Singh said, "Our investments and operations in India are enabling customers of all segments to experiment and build technology applications and platforms, re-invent industries and their business models, and power their growth." AWS is continuously expanding the breadth of models available on Amazon Bedrock based on customer feedback, he said, adding that with the introduction of Amazon Nova, AWS now offers a new generation of foundation models that deliver multimodal intelligence and content creation capabilities. Singh believes that while generative AI is transforming how information is created and analysed, the rise of agentic AI will fundamentally reshape the nature of work itself. Further, he noted that this rapid transformation will be fuelled by upskilling the workforce with future-ready skills. "Skilling workforce with future skills will continue to be a priority for all businesses. Across India, the need for urgent digital skills training remains a key priority for industry and government. AWS has trained over 5.9 million individuals in India on cloud skills since 2017," he said. AWS established its presence in India in 2011 and has Zepto, Paytm , Razorpay and SonyLIV, among others, as its clientele. The firm has committed to invest $16.4 billion (about Rs 13,87,25 crore) by 2030 to fuel growth and digital transformation in India.