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The Hindu
11-07-2025
- Business
- The Hindu
Smarter, faster, stronger: how AI is transforming manufacturing
Step inside a modern factory, and you might find something quietly extraordinary. Machines no longer wait to fail; they signal in advance. Robots don't just repeat tasks; they adapt and respond. And decisions once made on instinct are now driven by real-time data. This is the new face of manufacturing, where artificial intelligence (AI) is not just an upgrade but a fundamental shift in how things are made, moved and managed. Across India, from long-established facilities to newly-built plants, AI is being integrated into every layer of production. It is helping manufacturers increase output, reduce waste, adapt to shifting demands and even design more intelligently. Backed by national policy and rising enterprise ambition, India's factories are becoming more agile, more precise and more globally competitive. Sector on move The global AI-in-manufacturing market is projected to grow from $4.1 billion in 2024 to $5.8 billion in 2025, and is expected to surpass $25 billion by 2029, according to The Business Research Company. In India, adoption is accelerating. TeamLease data shows AI use across industries stood at 48% in FY2024, with manufacturing alone rising from 8% to 22% in just one year. This is supported by policy initiatives like the Government of India's ₹10,372-crore AI Mission, which is investing in infrastructure, talent, and indigenous models. 'From predictive maintenance to intelligent automation, AI and GenAI are turning manufacturing industries into self-optimising systems. Real-time data is being leveraged to drive smarter decisions, higher throughput, and more sustainable, customer-centric outcomes. When combined with responsible AI frameworks, this shift drives both operational excellence and enhanced customer value,' says Sanjay Mittal, senior partner and industrial sector leader, IBM Consulting India & South Asia. Intelligence across floor AI is powering improvements across every layer of the factory. On the shop floor, predictive maintenance uses sensor data to anticipate equipment failures, reducing downtime by up to 30%, according to McKinsey. AI vision systems identify micro-level defects in real time, improving quality assurance. Cobots—collaborative robots guided by AI—support workers in physically demanding or repetitive tasks. These machines respond to human cues, enabling safer, more efficient man-machine collaboration. 'Today, CPCL generates about 1 TB of data daily. AI-powered CCTVs are helping ensure SOP compliance, while machine learning supports predictive maintenance and smart procurement. Digital twins and centralised safety monitoring are our focus to steadily transform our operations,' says H. Shankar, managing director, Chennai Petroleum Corporation Limited. Further upstream, generative AI accelerates product development. Digital twins simulate layouts, energy use and asset health, helping engineers optimise operations virtually. In planning and logistics, AI enhances forecasting and enables more agile scheduling. IBM estimates that AI-led planning improves responsiveness by over 20%. 'At ZF Group in India, we're integrating smart manufacturing technologies like AI, robotics, and automation to transform our operations. AI is helping us redesign workflows by reducing task complexity and enhancing labour flexibility, empowering shop-floor teams to manage more intricate processes. AI-powered vision systems are also improving quality control by eliminating fatigue-related errors and increasing inspection efficiency,' says Akash Passey, president, ZF Group India Broader digital backbone AI draws strength from a wider digital ecosystem that enables speed, scale, and integration. At the edge, IoT sensors capture real-time data from machines, materials, and the environment. Edge computing allows instant responses for tasks like robotic actuation and safety control. Cloud platforms provide the scale to train models, run digital twins, and coordinate cross-site operations. These platforms allow AI to be deployed flexibly and integrated into existing enterprise systems. Emerging technologies such as autonomous control systems and agentic AI offer even more adaptability. These systems learn, plan and optimise processes with minimal human input. Crucially, these layers are connected through APIs and integration hubs that link AI with ERP, supply chain, and production systems. This ensures insights are shared across the organisation to enable better decision-making. More than just efficiency AI creates value at two levels. First, through operational hygiene. Predictive maintenance, automated inspections, and real-time stock tracking are fast becoming industry norms. These improvements lower costs and improve compliance, but are no longer enough to differentiate. 'We are now exploring AI-driven process optimisation to improve yields and reduce energy use, deploying drones for safer inspections, and planning AI-driven logistics. As AI and automation evolve, the opportunity to unlock smarter, safer, and more efficient operations continues to grow,' adds Mr. Shankar of CPCL. Second, AI is unlocking innovation. Generative tools speed up design. AI-driven customisation enables personalisation at scale. Companies that embed AI across their value chain—from R&D to delivery—are more agile, responsive, and future-ready. Looking ahead Challenges persist. Integration costs, talent shortages and concerns over data governance and model transparency are slowing broader adoption. A 2024 Reuters/Ipsos survey found that 44% of manufacturing leaders remain cautious about scaling generative AI due to concerns around hallucinations and explainability. Still, the direction is clear. AI will be central to India's ambition of becoming a $5 trillion manufacturing economy. With the right mix of strategy, skills, and Indian manufacturers are well positioned to lead the next wave of global industrial transformation.
Time of India
08-07-2025
- Business
- Time of India
Startups are cautiously hiring again; 80,000 new tech jobs expected in FY26, data shows
Academy Empower your mind, elevate your skills With the funding winter easing, hiring by Indian startups improved in financial year 2025, with 60,000 net new employee additions. This took the total startup workforce to 5.9 lakh at the end of the fiscal year, according to Xpheno data In total, 1.6 lakh individuals were hired, accounting for both net growth and one lakh attrition-linked backfills. This is a healthy increase from the 1.2 lakh employees added in FY24, though it is yet to reach the 1.8 lakh additions observed in to Xpheno , tech hiring may return to its pre-downturn highs in FY26. The firm expects 80,000 net additions, taking the total tech workforce from 5.9 lakh at the close of FY25 to 6.7 lakh by the end of FY26.A report by TeamLease shows similar optimism in the startup and tech sector. The ecosystem is showing signs of a cautious recovery after the funding reset, with a net employment change (NEC) of +6.9% for the first half of FY26, the company's Employment Outlook Report is down from +8.9% in the second half of FY24-25 the report observed. About 69% of employers in this area will expand their workforce, driven by advancements in AI-driven product scaling, growth marketing, and cloud-native engineering, the report said. However, about 12% are expecting reductions due to cost discipline, while 19% expect no TeamLease report added that roles such as DevOps, product manager, and full-stack developer are in demand, especially in B2C, D2C, and platform-first showed that the tech startups cohort in India has moved from 2.5 lakh to 3.6 lakh in white-collar talent size and registered a collective 7.1 gross hiring count from FY21 to led to a cautious FY21 for startups, with only 50,000 net hires. However, FY22 saw a massive bounceback, with 2.1 lakh net additions, translating to 800-900 hires per working day, primarily due to hyper-hiring in the tech sector. While FY23 started strong, hiring slowed in the second half as the funding winter set was a high-impact year as uncertain macros drove mass layoffs across the sector, with net additions dropping to the same levels as during the pandemic.
India Today
07-07-2025
- Health
- India Today
IIT Delhi's new 24-week executive programme bridges AI and healthcare
IIT Delhi, in partnership with edtech firm TeamLease, has stitched together something more than a course. It's a 24-week online programme that doesn't just teachb -- it recalibrates how professionals think about medicine, data, and machines. Set to begin in November, this executive course in AI for Healthcare is not just about code and theory -- it's about retooling the modern-day doctor, engineer, and health data analyst for the world they already live JUST ANOTHER AI COURSEThis isn't a crash course. It's a guided immersion into clinical datasets, hospital systems, and the decisions machines can help doctors make. Participants won't just learn about artificial intelligence -- they'll use it. From building diagnostic models to designing AI systems for real-world hospital use, the learning will be hands-on, model-by-model, it's all online, on weekends, because the classroom isn't a place—it's a pause in a working professional's schedule. Not just coders. Not just clinicians. Anyone with a graduate degree working in healthcare, research, data or med-tech, who believes machines can assist, not Rs 1.2 lakh plus GST, the course opens its doors to those ready to bridge medicine and machine LEARNER TO SPECIALISTWhat happens after 24 weeks?You could be building AI for CT creating scoring models for patient validating AI tools in live hospital translating medical problems into data managing the development of new AI-powered ensuring all of it complies with global health Delhi isn't offering a shortcut. It's offering a reset. A way to think differently about healthcare's next programme isn't about catching up to the future -- it's about designing it. One data model, one ethical choice, and one weekend session at a time.- Ends
Indian Express
07-07-2025
- Health
- Indian Express
IIT Delhi introduces online executive programme for AI in Healthcare
The Indian Institute of Technology, Delhi and edtech company TeamLease, has introduced a new online executive programme on AI in Healthcare. Designed for clinicians, engineers, data professionals, and med-tech entrepreneurs, this 24-week programme equips participants with future-ready skills to drive innovation in patient care, diagnostics, public health, and hospital operations. The online programme offers an academic and practical foundation in AI for healthcare. Participants gain hands-on experience with clinical datasets, explore hospital data systems, and learn to build AI models for diagnosis, risk scoring, imaging, and predictive analytics. The fee of the course is Rs 1.20 lakh + 18 per cent GST. IIT Delhi Scholarships Any graduate professional working in industry and academia with an area relevant to AI in healthcare is eligible for the course. The application link for the course registration is Know other IIT Delhi courses After completing the course, students can expect the following employment opportunities: –AI/ML Engineer – Design and develop AI models for diagnostics, disease prediction, or medical imaging –Healthcare Data Scientist – Analyze clinical data to generate insights and predict patient outcomes –Clinical AI Researcher – Conduct research and validation of AI tools in real-world healthcare settings –Digital Health Consultant – Guide healthcare providers in adopting AI solutions for improved care and efficiency –Medical Imaging Analyst – Use AI to interpret X-rays, MRIs, and CT scans with greater speed and accuracy –AI Product Manager – HealthTech – Oversee development and deployment of AI-based healthcare products –Regulatory/Data Governance Specialist – Ensure AI models meet healthcare data privacy and compliance standards The course will start in November. The course will be delivered via live, interactive online sessions on weekends, ensuring flexibility for working professionals.
Hindustan Times
24-06-2025
- Business
- Hindustan Times
Reimagining Engineers for Industry 4.0: The Rise of India's Smart Manufacturing Talent
India is a country where studying engineering has long been the most predictable and certain route to a successful career. Not only did it ensure a bright future in terms of job prospects, but it was also one of the most stable and secure sectors to work in. This was primarily because it contributed significantly to the process of nation-building and industrial development, generating numerous jobs in core engineering and ancillary industries. iPMP students exploring Industry 4.0 labs at the NAMTECH campus However, in the recent past, job prospects for engineering graduates have begun to change dramatically. While the job market is flooded with fresh graduates, with nearly 15 lakh engineering students entering the workforce each year, according to a 2024 TeamLease Degree Apprenticeship report—the landscape of jobs has shifted significantly, both in nature and in demand. Students from premier institutes are also facing uncertainties. According to the TeamLease report, only 60 per cent of IIT graduates secured placements. This trend has sparked growing concerns about employability, as many graduates struggle to meet the evolving expectations and skill requirements of the industry. Bridging the Demand–Supply Gap: A Long-Standing Industry Challenge For years, industries have grappled with a critical question: How do we bridge the growing gap between talent demand and supply? Despite a steady stream of engineering graduates, most arrive in the job market lacking the hands-on experience and practical exposure, needed to succeed in today's rapidly evolving industrial landscape. Traditional institutions often fall short in equipping students with the skills required for smart engineering roles that demand proficiency in automation, AI, data integration, and system-level thinking. As a result, companies are confronted with a large talent pool that lacks job-ready skills, forcing them to invest significant resources in re-training and upskilling new hires. NAMTECH (New Age Makers' Institute of Technology), a global, pioneering initiative by ArcelorMittal and Nippon Steel (AM/NS) India, based in Gandhinagar, Gujarat, has been purposefully established to bridge the widening gap between traditional college education and the evolving needs of modern industry. Comprehensive courses under its International Professional Master's Programs (iPMPs), which are co-designed and co-delivered with industry players and global academic institutes, transform engineering graduates into 'smart engineers' who are ready for Industry 4.0; engineers who can be instrumental in India achieving the vision of Viksit Bharat by 2047. Bright graduates from the country's premier engineering institutions can enrol in NAMTECH's International Professional Master's Program (iPMP)—an accelerated one-year residential course that offers advanced education and hands-on training in future-focused fields like Smart Manufacturing & AI, Semiconductor Manufacturing, Advanced Robotics, and Sustainability Engineering. Through strategic partnerships with globally renowned institutions such as the Technical University of Munich (TUM) Asia, the Massachusetts Institute of Technology (MIT), and Purdue University Northwest (USA), NAMTECH offers select students valuable global immersion opportunities, ensuring exposure to world-class academic ecosystems and international best practices. With a strong emphasis on real-world application, NAMTECH's curriculum integrates micro-factories, digital labs, and industry-grade systems—ensuring that students complement their academic knowledge with immersive, hands-on learning experiences. The 100% placement success of NAMTECH's debut batch stands as a strong testament to the institute's industry-aligned curriculum and its effectiveness in preparing students for the demands of today's evolving job market. NAMTECH is making this opportunity of gaining world-class education and real-world experiences more accessible to meritorious students in India by inviting applications for 100 fully funded fellowships for engineering graduates from IITs, NITs, IIITs, BITS, and other top institutions. Its admission for this academic year ends on 10 July. An urgent need for transformation in engineering sectors Under the Government of India's Viksit Bharat initiative, the country is striving to achieve a target of $30 trillion in GDP by 2047. To fulfil the immense opportunities that these industries will present, the country needs not just engineers but 'smart engineers', who will be proficient in subjects such as intelligent systems, integrated automation, and sustainability challenges. India's manufacturing sector currently employs more than 100 million people and is projected to grow at a compounded annual growth rate (CAGR) of about 11 per cent from its 2024 level of $1.8 trillion. According to the World Economic Forum, 170 million new roles will emerge in the manufacturing and engineering sectors by 2030 globally, in addition to the emergence of 24 million new green jobs within the sector. While on one hand industry leaders are rearing to push forward with new-age technologies and skill sets, they are facing hurdles such as an acute lack of employees who can steer their processes forward. This highlights the immense opportunity that lies ahead for 'smart engineers', and the role that NAMTECH plays in ensuring that promising young, talent from India can find secure and successful careers in new-age engineering roles. Note to readers: This article is part of HT's paid consumer connect initiative and is independently created by the brand. HT assumes no editorial responsibility for the content, including its accuracy, completeness, or any errors or omissions. Readers are advised to verify all information independently. Want to get your story featured as above? click here!
