LTIMindtree rolls out AI business unit
BlueVerse Marketplace, for instance, currently has over 300 industry and function-specific agents and ensures seamless interoperability and a growing connector ecosystem.
It is underpinned by responsible AI governance, delivering enterprise-grade trust and scalability.BlueVerse Productized Services utilise repeatable frameworks, accelerators, and industry-specific solution kits. At launch, BlueVerse will offer pre-built solutions for Marketing Services and Contact Centre as a Service (CCaaS).
This ecosystem also includes BlueVerse Foundry, an intuitive no-code designer and flexible pro-code editor that can enable enterprises to quickly compose and deploy AI agents, AI tools, assistants, retrieval-augmented generation (RAG) pipelines, and intelligent business processes.
Venu Lambu, CEO and MD of LTIMindtree, said, "BlueVerse is all about unlocking productivity for businesses at different levels by embedding AI across all functions of the enterprise." "BlueVerse will enable our clients to unlock new sources of value, streamline operations, and stay ahead in an AI-driven world," said Nachiket Deshpande, president, global AI services, strategic deals and partnerships.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Time of India
35 minutes ago
- Time of India
How AI is reshaping 700 US professions: Automation, augmentation, and what it means for the workforce
The growing role of AI in 700 US professions: Balancing automation and augmentation. (AI Image) Artificial intelligence (AI) is increasingly integrated into the workplace, impacting a wide range of professions across the US labor market. A recent study analyzing AI's effects on more than 700 occupations found that AI systems are already automating or augmenting about 25 percent of daily tasks performed in various jobs. This growing presence of AI raises questions about how work will change across industries and what it means for employees. Researchers from Anthropic , an AI company behind the assistant Claude, examined over one million text-based conversations with users at the end of 2024. Their dataset categorized tasks handled by AI as either automated—completed independently by AI—or augmented, where AI assists humans under supervision. This data provides a detailed view of AI's current role in reshaping job tasks in the US workforce. AI automates and augments different tasks across occupations The study found that AI impacts jobs differently depending on the profession. Automation occurs when AI performs tasks without human input, while augmentation requires human oversight and collaboration. On average, about 23 percent of tasks in computer and math-related jobs can be automated, reflecting the high capability of AI in technical roles. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like 15+ Food That Unclog Arteries (Most People Ignore) Undo In contrast, educators and librarians experience the highest levels of augmentation, with 40 percent of their tasks potentially enhanced by AI tools. According to the Washington Post , the Anthropic research indicates that while automation may lead to lower wages and increased unemployment in some fields, augmentation tends to raise wages for more experienced workers and creates jobs in emerging areas. The researchers also pointed out limitations, noting that their analysis focuses solely on text-based AI interactions, possibly underestimating AI's influence in professions that rely heavily on image or video generation, such as fashion or interior design. Tech industry feels early impacts of AI The technology sector has already experienced significant changes due to AI integration. Approximately 56 percent of tasks within computer and math jobs are either automated or augmented, with a tendency towards automation. The Washington Post reports that AI systems now write more than a quarter of the code at companies like Microsoft and Google, and IBM has replaced several hundred human resources workers with AI applications. About 3.8 percent of the US labor force, or over 6 million people, work in tech. These positions have traditionally been well-paid and recession-resistant. However, the rapid advancement of AI is altering this landscape. The Washington Post quoted researchers emphasizing that although AI may create new job categories, such as AI security developers and ethics engineers, current trends indicate more layoffs than new hires in tech fields. Key statistics on AI automation and augmentation across US professions Category Description Percentage of tasks automated Percentage of tasks augmented Overall workforce impact AI automates or augments about 25% of daily tasks across 700+ US professions ~25% ~25% Computer and math jobs Highest automation risk; AI automates many coding and technical tasks 23% average automation Included in overall augmentation Tech sector 56% of tasks automated or augmented, skewed more towards automation; AI writes 25%+ of code 56% - Educators and librarians Highest augmentation scores; AI assists with 40% of their job tasks Lower automation 40% Tech workforce size Over 6 million people (3.8% of US labour force) work in tech jobs - - AI impact limitations Dataset focuses on text-based AI interactions; underestimates impact on visual and design jobs - - Data source: Anthropic dataset and US labour statistics, as reported by the Washington Post. AI's impact in the workforce Workers across sectors are encouraged to understand AI's capabilities and incorporate the technology into their daily tasks. Using AI for routine activities, research, and communication can help employees augment their work and increase productivity. The Washington Post advises individuals to stay informed about AI's strengths, limitations, and ethical considerations to prepare for ongoing changes. Anthropic's dataset highlights that AI's effects vary widely, and its long-term impact remains uncertain as technology evolves and regulations develop. By the end of 2024, AI's role in the workforce included automating or augmenting roughly one-quarter of daily tasks across occupations. While automation tends to reduce employment and wages in some areas, augmentation may offer benefits, especially for experienced workers in specific fields. As AI continues to advance, understanding its influence on job functions will be critical for workers and employers alike. The balance between automation and augmentation will likely shape the future of work in the US economy. TOI Education is on WhatsApp now. Follow us here . Ready to navigate global policies? Secure your overseas future. Get expert guidance now!
Mint
an hour ago
- Mint
Singapore's GIC sees AI opportunity for India as "raw ingredients" are in place
As the world scrambles to navigate the rapid rise of artificial intelligence (AI), GIC, which manages Singapore's foreign reserves, is a few steps ahead. It has already made AI a core pillar of its long-term investment strategy. In this journey, India stands out as a key growth engine, backed by its deep talent pool, accelerating digitisation, and early adoption of AI across sectors like healthcare, finance, and infrastructure. In an exclusive interview with Mint, GIC's group chief investment officer Bryan Yeo shared insights on the firm's AI investment thesis, the role of its flagship Bridge Forum, a platform connecting AI startups with global corporations, and how it is also deploying AI internally to improve investment decisions. Edited excerpts: Amid the prevailing geopolitical uncertainty, particularly around US-India trade ties, how is GIC positioning itself in India, especially in AI-related investments? We certainly acknowledge the rising geopolitical and structural uncertainties globally, including around the US-India tech and trade relationship. However, we are not overly concerned about near-term volatility. At GIC, we take a long-term, thematic approach to investing. Artificial intelligence is not just transformational, but foundational: a multi-decade theme. Read more: Unfazed by new players, GIC Re gears up to reclaim market share So, our focus remains on enduring opportunities like AI, where we see significant value creation, especially in a growing economy like India. While geopolitical risks are factored into our underwriting, they don't change our core thesis. Diversification is a key part of our strategy to ensure portfolio resilience, and India continues to be an important geography for us. Can you elaborate on how GIC is approaching AI investments in India? Where do you see the most immediate opportunities? Our framework divides the AI value chain into three categories: enablers, monetizers, and adopters. Enablers include companies building the infrastructure needed for AI, such as data centers and semiconductors. Monetizers are startups developing AI-native products and services. Adopters are large corporations integrating AI into their operations to drive productivity and transformation. Right now, we are most deeply invested in enablers across the globe, including global partnerships in data infrastructure. But in India, we are mostly invested in adopters through large- and mid-cap listed tech companies, as well as industrial and financial companies. We take a bottom-up approach with all our investments. While there is no dedicated fund for AI investments in India, we are invested in various layers of the Indian AI ecosystem through both public and private equity. What role does the Bridge Forum play in supporting your AI strategy in India? The Bridge Forum is GIC's flagship initiative to foster synergies between AI startups and large global enterprises. It's held biennially in Silicon Valley—the last edition was in May 2025—and we've made over 500 curated introductions between founders and 250+ C-suite leaders from 20 countries. In 2023, we brought the Bridge Forum to India for the first time. It was a CTO-focused edition, with participation from leading Indian startups such as Flipkart, Razorpay, Zepto, Postman, and global players like Microsoft, Snowflake, Databricks, and Stripe. We are hosting the next India edition in Mumbai later this year, where we aim to connect Indian tech founders with CIOs and CTOs of multinational corporations. The goal is to help Indian startups scale by selling into global markets, while enabling MNCs to adopt cutting-edge AI technologies — creating commercial value for all parties, including GIC. India still lags behind the US and China in AI innovation. What's your view on this gap, and how can India catch up? I see it as a journey. India, if compared with the US, is behind in terms of maturity of the startup ecosystem and growth. However, we are very optimistic about India's long-term potential. The growth of the ecosystem is supported by the large pool of strong engineering talent, a rapidly growing digital economy, and a supportive regulatory environment that India has. We hire many fresh graduates in our India offices and see first-hand the technical capabilities. While the AI startup ecosystem is still nascent, we believe the raw ingredients are in place. Our approach is to deploy patient capital and support proven, commercially viable startups as they scale. What's your view on India's government-led initiatives such as the IndiaAI Mission? Do state partnerships affect GIC's investment focus? The IndiaAI Mission and similar government initiatives can provide a strong push for AI adoption and digital infrastructure development. Government-backed projects can provide validation for how good a product or service is as they need certain markets to pilot and grow. GIC's focus, however, remains on commercial use cases. What matters to us is whether a company has a solid business model, strong management, and scalable technology. You've spoken about digitalization being a key driver. How significant is that for your India portfolio? Digitisation is a major value creator, especially in the financial sector, where we have been long-term investors. GIC's exposure to financial services in India is around $20 billion—this includes banks, NBFCs, and insurance companies across public and private markets. We've been invested here since the early 1990s. AI is now a key enabler in digitising financial operations—from customer onboarding and credit scoring to fraud detection and operational efficiency. Read more: Exclusive: Greenko founders buy Orix Corp.' 20% in Greenko Energy for $1.4 billion, announcement on Monday We also see strong potential for AI adoption in healthcare — in medical imaging analysis, drug development, and clinical safety testing. In supply chains and manufacturing, AI is being used for predictive routing, quality control, and process optimization. GIC is actively invested in Indian infrastructure, real estate, IT services and manufacturing. AI adoption in these sectors will only accelerate and open up new investment opportunities. How is GIC using AI internally? We are undergoing a multi-year transformation to become an AI-enabled organization ourselves. One standout project is the Virtual Investment Committee (IC) Member — a platform that ingests investment memos, analyses them in about an hour, and generates reports with probing questions, risk flags, and discussion prompts. This tool is already in use by our real estate and fixed income teams, and it draws on decades of deal data to simulate IC discussions and identify the blind spots. We are now developing varied AI personas — such as a risk manager — to further enhance decision-making. This kind of internal adoption helps us improve efficiency and analytical rigour. It is not about replacing people, but augmenting our capabilities with intelligent, agentic tools. And finally, given the AI-driven disruptions, how do you think companies, including those in India, should prepare? We see AI as both an opportunity and a risk. It will create immense value, but will also disrupt traditional business models. Companies that embrace AI early will likely gain a significant competitive edge, while those that resist may fall behind. In India, companies across sectors—from finance to pharma—need to proactively invest in AI adoption. At GIC, we will continue supporting businesses that are positioning themselves to thrive in this new environment. Read more: The spectre of AI is staring Indian IT in the face
Hindustan Times
an hour ago
- Hindustan Times
AI Is Wrecking an Already Fragile Job Market for College Graduates
For a growing number of bosses, the answer is not much—AI can do the work instead. At Chicago recruiting firm Hirewell, marketing agency clients have all but stopped requesting entry-level staff—young grads once in high demand but whose work is now a 'home run' for AI, the firm's chief growth officer said. Dating app Grindr is hiring more seasoned engineers, forgoing some junior coders straight out of school, and CEO George Arison said companies are 'going to need less and less people at the bottom.' Bill Balderaz, CEO of Columbus-based consulting firm Futurety, said he decided not to hire a summer intern this year, opting to run social-media copy through ChatGPT instead. Balderaz has urged his own kids to focus on jobs that require people skills and can't easily be automated. One is becoming a police officer. Having a good job 'guaranteed' after college, he said, 'I don't think that's an absolute truth today any more.' There's long been an unwritten covenant between companies and new graduates: Entry-level employees, young and hungry, are willing to work hard for lower pay. Employers, in turn, provide training and experience to give young professionals a foothold in the job market, seeding the workforce of tomorrow. A yearslong white-collar hiring slump and recession worries have weakened that contract. Artificial intelligence now threatens to break it completely. That is ominous for college graduates looking for starter jobs, but also potentially a fundamental realignment in how the workforce is structured. As companies hire and train fewer young people, they may also be shrinking the pool of workers that will be ready to take on more responsibility in five or 10 years. Companies say they are already rethinking how to develop the next generation of talent. AI is accelerating trends that were already under way. With each new class after 2020, an ever-smaller share of graduates is landing jobs that require a bachelor's degree, according to a Burning Glass Institute analysis of labor data. That's happening across majors, from visual arts to engineering and mathematics. And unemployment among recent college graduates is now rising faster than for young adults with just high-school or associate degrees. Meanwhile, the sectors where graduate hiring has slowed the most—like information, finance, insurance and technical services—are still growing, a sign employers are becoming more efficient and see no immediate downside to hiring fewer inexperienced workers, said Matt Sigelman, Burning Glass's president. 'This is a more tectonic shift in the way employers are hiring,' Sigelman said. 'Employers are significantly more likely to be letting go of their workers at the entry level—and in many cases are stepping up their hiring of more experienced professionals.' After dancing around the issue in the 2½ years since ChatGPT's release upended the way almost all companies plan for their futures, CEOs are now talking openly about AI's immense capabilities likely leading to deep job cuts. Top executives at industry giants including Amazon and JPMorgan have said in recent weeks that they expect their workforces to shrink considerably. Ford CEO Jim Farley said he expects AI will replace half of the white-collar workforce in the U.S. For new graduates, this means not only are they competing for fewer slots but they are also increasingly up against junior workers who have been recently laid off. While many bosses say they remain committed to entry-level workers and understand their value, the data is increasingly stark: The overall national unemployment rate is at about 4%, but for new college graduates, it was 6.6% over the past 12 months ending in May. At large tech companies, which power much of the U.S. economy, the trend is perhaps more extreme. Venture-capital firm SignalFire found that among the 15 largest tech companies by market capitalization, the share of entry-level hires relative to total new hires has fallen by 50% since 2019. Recent graduates accounted for just 7% of new hires in 2024, down from 11% in 2022. A May report by the firm pointed to shrinking teams, fewer programs for new graduates and the growing influence of AI. Jadin Tate studied informatics at the University at Albany, hoping to land a job focused on improving the user experience of apps or websites. The week before graduation, his mentor leveled with him: That field is being taken over by AI. He warned it may not exist in five years. Tate has attended four conventions this year, networking with companies and asking if they are hiring. He has also applied to dozens of jobs, without success. Several of his college friends are working retail and food-service jobs as they apply for white-collar roles or before their start dates. 'It has been intimidating,' Tate said of his job search. Indeed, recent graduates and students are fighting over a smaller number of positions geared at entry-level workers. There were 15% fewer job postings to the entry-level job-search platform Handshake this school year than last, while the number of applications per job rose 30%, according to the platform. Internship postings and applications saw similar trend lines between 2023 and 2025. Less gruntwork, more mentoring The shift to AI presents huge risks to companies on skill development, even as they enjoy increased efficiency and productivity from fewer workers, said Chris Ernst, chief learning officer at the HR and finance software company Workday. Ernst said his research shows that workers mostly learn through experience, and then the remainder comes from relationships and development. When AI can produce in seconds a report that previously would have taken a young employee days or weeks—teaching that person critical skills along the way—companies will have to learn to train that person differently. 'Genuine learning, growth, adaptation—it comes from doing the hard work,' he said. 'It's those moments of challenge, of hardship—that's the crucible where people grow, they change, they learn most profoundly.' Among other things, Ernst said employers must be intentional about connecting young workers with colleagues and making time to mentor them. At the pipeline operator Williams, based in Tulsa, Okla., the company realized that thanks to AI young professionals were performing less of the drudgework like digging into corporate data that historically has taught them the core of the business. New employees at pipeline operator Williams go through a two-day orientation at the corporate headquarters in Tulsa, Okla. The company this year started a two-day onboarding program where veteran executives teach new hires the business fundamentals. Chief Human Resources Officer Debbie Pickle said that increased training will help new hires develop without loading them down with gruntwork. 'These are really bright, top talent people,' she said. 'We shouldn't put a cap on how we think they can add value for the company.' Still, Pickle said, the increased efficiency will allow the company to expand the business while keeping head count flat in the future. Some of the entry-level jobs most at risk are the most lucrative for recent graduates, including on Wall Street and in big law firms where six-figure starting salaries are the norm. But those jobs have also been famously menial for the first few years—until AI came along. The investment firm Carlyle now pitches to prospective hires that they won't be doing grunt work. Junior hires go through AI training and a program called 'AI University' in which employees share best practices and participate in pilot programs, said Lúcia Soares, the firm's chief information officer. In the past, she said, junior hires evaluating a deal would find articles on Google, request documents from companies, review that information manually, highlight details and copy and paste information from one document to another. Now, AI tools can do almost all of that. An employee poses for a headshot at the new-employee orientation at Williams. 'That analyst still has to go in and make sure the analysis is accurate, question it, challenge it,' she said. 'The nature of the brain work that needs to go into it is very much the same. It's just the speed at which these analysts can move.' She said Carlyle has maintained the same volume of entry-level hiring but said 90% of its staff has adopted generative AI tools that automate some work. 'Messy transition' Carlyle's reliance on young staff to check AI's output highlights what many users know to be true: it still struggles in some cases to do the work of humans effectively. Still, many executives expect that gap to close quickly. At the New York venture-capital firm Primary Venture Partners, Rebecca Price said she's encouraging CEOs of the firm's 100 portfolio companies to think hard about every hire and whether the role could be automated. She said it's not that there are no entry-level jobs, but that there's a gap between the skills companies expect out of their junior hires in the age of AI and what most new graduates are equipped with out of school. An engineer in a first job used to need basic coding abilities: now that same engineer needs to be able to detect vulnerabilities and have the judgment to determine what can be trusted from the AI models. New grads must also learn faster and think critically, she said—skills that many of the newest computer-science grads don't have yet. 'We're in this messy transition,' said Price, a partner at the firm. 'The bar is higher and the system hasn't caught up.' Students are seeing the transition in real time. Arjun Dabir, a 20-year-old applied math major at the University of California, Irvine, said when he applied for internships last year, companies asked for knowledge of coding languages. Now, they want candidates who are familiar with how AI 'agents' can automate certain tasks on behalf of humans—or 'agentic workflows' in the new vernacular. 'What is an intern going to do?' Dabir said as drones buzzed overhead nearby at an artificial intelligence convention in June in Washington, DC. The work typically done by interns, 'that task is no longer necessary. You don't need to hire someone to do it.' Venture capitalist Allison Baum Gates said young professionals will need to be more entrepreneurial and gain experience on their own without the standard track of starting as an analyst or a paralegal and working their way up. Her firm, SemperVirens, invests in healthcare startups, workforce technology companies and fintech firms, some of which are replacing entry-level jobs. 'Maybe I'm wrong and this leads to a wealth of new jobs and opportunities and that would be a great situation,' she said. 'But it would be far worse to assume that there's no adverse impact and then be caught without a solution.' Rosalia Burr, 25, is trying to avoid such an outcome. She graduated in 2022 and quickly joined Liberty Mutual Insurance, where she had interned twice during college at Arizona State University. She was laid off from her payroll job in December. Running has soothed her anxiety. This spring, however, she tore her hip flexor and had to rest to heal. Job rejections, as she was stuck inside, hit extra hard. 'I felt that I was failing.' Her goal now is to find a client-facing job. 'If you're in a business back-end role, you're more of a liability of getting laid off, or your job being automated,' she said. 'If you're client facing, that's something people can't really replicate' with AI. Write to Lindsay Ellis at and Katherine Bindley at AI Is Wrecking an Already Fragile Job Market for College Graduates
