IBM opens agentic AI innovation center in India
The Center will help clients, partners, and startups fast-track adoption of AI, foster co-innovation, and empower developers through hands-on learning and collaboration with IBM AI experts. Developer hangouts and AI Accelerator Days will be organized for an ongoing engagement with community to foster learning in the latest advancements in AI technology and deep engagement that leads to building tangible outcomes.
Inaugurating the facility, Dinesh Nirmal, Senior Vice President, IBM Software said, 'We are entering a new era of AI—one defined by intelligent agents that don't just assist but act, adapt, and collaborate in real time. The IBM Agentic AI center brings this vision to life by urging local enterprises to evolve their AI strategy from reactive to proactive. It will empower clients and partners, to identify processes and workflows where AI will significantly boost productivity, elevate customer satisfaction, minimize downtime and enable users to focus on strategic tasks.'
A
recent survey
by IBM, in collaboration with Oxford Economics, reveals that AI is now a key driver of financial performance. The study found that Indian business leaders are leading the charge globally in adopting AI across core business functions. Notably, 78% of Indian executives believe the greatest value of agentic AI lies in enhancing decision-making. Additionally, 78% of the Indian leaders are actively encouraging employees to experiment with agentic AI tools—underscoring a strong culture of innovation and forward-looking leadership.
Sandip Patel, Managing Director, IBM India and South Asia added, "AI is no longer just the future—it is reshaping India today. To unlock its full potential and realize the vision of Viksit Bharat, Indian enterprises must deepen their understanding and focus on high-impact use cases. The rise of Agentic AI is accelerating innovation to meet evolving business needs. With its new Agentic AI Innovation Center, IBM will drive industry-wide collaboration, nurture homegrown innovation, and ensure scalable, real-world impact within a strong governance framework."
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Mint
10 minutes ago
- Mint
The high-schoolers who just beat the world's smartest AI models
The smartest AI models ever made just went to the most prestigious competition for young mathematicians and managed to achieve the kind of breakthrough that once seemed miraculous. They still got beat by the world's brightest teenagers. Every year, a few hundred elite high-school students from all over the planet gather at the International Mathematical Olympiad. This year, those brilliant minds were joined by Google DeepMind and other companies in the business of artificial intelligence. They had all come for one of the ultimate tests of reasoning, logic and creativity. The famously grueling IMO exam is held over two days and gives students three increasingly difficult problems a day and more than four hours to solve them. The questions span algebra, geometry, number theory and combinatorics—and you can forget about answering them if you're not a math whiz. You'll give your brain a workout just trying to understand them. Because those problems are both complex and unconventional, the annual math test has become a useful benchmark for measuring AI progress from one year to the next. In this age of rapid development, the leading research labs dreamed of a day their systems would be powerful enough to meet the standard for an IMO gold medal, which became the AI equivalent of a four-minute mile. But nobody knew when they would reach that milestone or if they ever would—until now. This year's International Mathematical Olympiad attracted high-school students from all over the world. The unthinkable occurred earlier this month when an AI model from Google DeepMind earned a gold-medal score at IMO by perfectly solving five of the six problems. In another dramatic twist, OpenAI also claimed gold despite not participating in the official event. The companies described their feats as giant leaps toward the future—even if they're not quite there yet. In fact, the most remarkable part of this memorable event is that 26 students got higher scores on the IMO exam than the AI systems. Among them were four stars of the U.S. team, including Qiao (Tiger) Zhang, a two-time gold medalist from California, and Alexander Wang, who brought his third straight gold back to New Jersey. That makes him one of the most decorated young mathematicians of all time—and he's a high-school senior who can go for another gold at IMO next year. But in a year, he might be dealing with a different equation altogether. 'I think it's really likely that AI is going to be able to get a perfect score next year," Wang said. 'That would be insane progress," Zhang said. 'I'm 50-50 on it." So given those odds, will this be remembered as the last IMO when humans outperformed AI? 'It might well be," said Thang Luong, the leader of Google DeepMind's team. Until very recently, what happened in Australia would have sounded about as likely as koalas doing calculus. But the inconceivable began to feel almost inevitable last year, when DeepMind's models built for math solved four problems and racked up 28 points for a silver medal, just one point short of gold. This year, the IMO officially invited a select group of tech companies to their own competition, giving them the same problems as the students and having coordinators grade their solutions with the same rubric. They were eager for the challenge. AI models are trained on unfathomable amounts of information—so if anything has been done before, the chances are they can figure out how to do it again. But they can struggle with problems they have never seen before. As it happens, the IMO process is specifically designed to come up with those original and unconventional problems. In addition to being novel, the problems also have to be interesting and beautiful, said IMO president Gregor Dolinar. If a problem under consideration is similar to 'any other problem published anywhere in the world," he said, it gets tossed. By the time students take the exam, the list of a few hundred suggested problems has been whittled down to six. Meanwhile, the DeepMind team kept improving the AI system it would bring to IMO, an unreleased version of Google's advanced reasoning model Gemini Deep Think, and it was still making tweaks in the days leading up to the competition. The effort was led by Thang Luong, a senior staff research scientist who narrowly missed getting to IMO in high school with Vietnam's team. He finally made it to IMO last year—with Google. Before he returned this year, DeepMind executives asked about the possibility of gold. He told them to expect bronze or silver again. He adjusted his expectations when DeepMind's model nailed all three problems on the first day. The simplicity, elegance and sheer readability of those solutions astonished mathematicians. The next day, as soon as Luong and his colleagues realized their AI creation had crushed two more proofs, they also realized that would be enough for gold. They celebrated their monumental accomplishment by doing one thing the other medalists couldn't: They cracked open a bottle of whiskey. Key members of Google DeepMind's gold-medal-winning team, including Thang Luong, second from left. To keep the focus on students, the companies at IMO agreed not to release their results until later this month. But as soon as the Olympiad's closing ceremony ended, one company declared that its AI model had struck gold—and it wasn't DeepMind. It was OpenAI. The company wasn't a part of the IMO event, but OpenAI gave its latest experimental reasoning model all six problems and enlisted former medalists to grade the proofs. Like DeepMind's, OpenAI's system flawlessly solved five and scored 35 out of 42 points to meet the gold standard. After the OpenAI victory lap on social media, the embargo was lifted and DeepMind told the world about its own triumph—and that its performance was certified by the IMO. Not long ago, it was hard to imagine AI rivals dueling for glory like this. In 2021, a Ph.D. student named Alexander Wei was part of a study that asked him to predict the state of AI math by July 2025—that is, right now. When he looked at the other forecasts, he thought they were much too optimistic. As it turned out, they weren't nearly optimistic enough. Now he's living proof of just how wrong he was: Wei is the research scientist who led the IMO project for OpenAI. The only thing more impressive than what the AI systems did was how they did it. Google called its result a major advance, though not because DeepMind won gold instead of silver. Last year, the model needed the problems to be translated into a computer programming language for math proofs. This year, it operated entirely in 'natural language" without any human intervention. DeepMind also crushed the exam within the IMO time limit of 4 ½ hours after taking several days of computation just a year ago. You might find all of this completely terrifying—and think of AI as competition. The humans behind the models see them as complementary. 'This could perhaps be a new calculator," Luong said, 'that powers the next generation of mathematicians." Speaking of that next generation, the IMO gold medalists have already been overshadowed by AI. So let's put them back in the spotlight. Team USA at the International Mathematical Olympiad, including Alexander Wang, fourth from right, and Tiger Zhang, with the stuffed red panda on his head. Qiao Zhang is a 17-year-old student in Los Angeles on his way to MIT to study math and computer science. As a young boy, his family moved to the U.S. from China and his parents gave him a choice of two American names. He picked Tiger over Elephant. His career in competitive math began in second grade, when he entered a contest called the Math Kangaroo. It ended this month at the math Olympics next to a hotel in Australia with actual kangaroos. When he sat down at his desk with a pen and lots of scratch paper, Zhang spent the longest amount of time during the exam on Problem 6. It was a problem in the notoriously tricky field of combinatorics, the branch of mathematics that deals with counting, arranging and combining discrete objects, and it was easily the hardest on this year's test. The solution required the ingenuity, creativity and intuition that humans can muster but machines cannot—at least not yet. 'I would actually be a bit scared if the AI models could do stuff on Problem 6," he said. Problem 6 did stump DeepMind and OpenAI's models, but it wasn't just problematic for AI. Of the 630 student contestants, 569 also received zero points. Only six received the full credit of seven points. Zhang was proud of his partial solution that earned four points—which was four more than almost everyone else. At this year's IMO, 72 contestants went home with gold. But for some, a medal wasn't their only prize. Zhang was among those who left with another keepsake: victory over the AI models. (As if it weren't enough that he can bend numbers to his will, he also has a way with words and wrote this about his IMO experience.) In the end, the six members of the U.S. team piled up five golds and one silver, finishing second overall behind the Chinese after knocking them off the top spot last year. There was once a time when such precocious math students grew up to become professors. (Or presidents—the recently elected president of Romania was a two-time IMO gold medalist with perfect scores.) While many still choose academia, others get recruited by algorithmic trading firms and hedge funds, where their quantitative brains have never been so highly valued. This year, the U.S. team was supported by Jane Street while XTX Markets sponsored the whole event. After all, they will soon be competing with each other—and with the richest tech companies—for their intellectual talents. By then, AI might be destroying mere humans at math. But not if you ask Junehyuk Jung. A former IMO gold medalist himself, Jung is now an associate professor at Brown University and visiting researcher at DeepMind who worked on its gold-medal model. He doesn't believe this was humanity's last stand, though. He thinks problems like Problem 6 will flummox AI for at least another decade. And he walked away from perhaps the most significant math contest in history feeling bullish on all kinds of intelligence. 'There are things AI will do very well," he said. 'There are still going to be things that humans can do better." Write to Ben Cohen at
Mint
10 minutes ago
- Mint
Breakout stocks to buy or sell: Sumeet Bagadia recommends five shares to buy today — 28 July 2025
Breakout stocks buy or sell: The Indian stock market extended its losing streak for a second consecutive session on Friday, July 25, as selling pressure persisted. Benchmark indices — the Sensex and Nifty 50 — posted significant losses, with mid- and small-cap stocks tumbling by up to 2 per cent. During the session, the Sensex dropped 786 points, nearly 1 per cent, to hit an intraday low of 81,397.69, while the Nifty 50 declined 1 per cent to reach 24,806.35. At the close, the Sensex had fallen 721 points, or 0.88 per cent, to settle at 81,463.09, and the Nifty 50 finished 225 points lower, or 0.90 per cent down, at 24,837. Sumeet Bagadia, Executive Director at Choice Broking, believes that Indian stock market sentiment has turned weak as the Nifty 50 index has slipped below the 50-DEMA support of 24,900. Speaking on the outlook of Indian stock market, Bagadia said, ' The key benchmark index may try to test 24,700 to 24,650 levels. However, the next crucial support for the 50-stock index is placed at 24,500. On the upper side, 25,050 may act as crucial hurdle. So, one should maintain stock-specific approach and look at those stocks that are looking strong on the technical chart. Looking at breakout stocks can be a good option." 1] Hubtown: Buy at ₹ 315.75, target ₹ 340, stop loss ₹ 305; 2] Home First Finance Company India: Buy at ₹ 1479, target ₹ 1600, stop loss ₹ 1425; 3] Nilkamal: Buy at ₹ 1796.8, target ₹ 1920, stop loss ₹ 1730; 4] Jagsonpal Pharmaceuticals: Buy at ₹ 263.3, target ₹ 285, stop loss ₹ 255; 5] Le Travenues Technology: Buy at ₹ 219.88, target ₹ 240, stop loss ₹ 212. Disclaimer: This story is for educational purposes only. The views and recommendations above are those of individual analysts or broking companies, not Mint. We advise investors to check with certified experts before making any investment decisions.
Mint
10 minutes ago
- Mint
Stocks to buy on 28 July—recommended by leading market experts
On Friday, Nifty 50 declined 0.9%, closing at 24,837, its lowest level in a month, as persistent selling in IT and midcap stocks dragged the index lower. This marked the fourth consecutive weekly loss for the benchmark, making it the longest losing streak of the year so far. Market sentiment remained weak throughout the session, with the index failing to hold above its key support levels. IT stocks were the major laggards, reflecting concerns over global demand and margin pressures, while midcaps saw broad-based profit booking. On the other hand, certain PSU banks and pharma stocks showed relative strength, offering some cushion to the broader market. Here are the best stock picks for today, recommended by leading market experts. Best stock recommendations for today by MarketSmith India Three stocks to buy as recommended by Ankush Bajaj Best stocks to buy today, recommended by NeoTrader's Raja Venkatraman PUNJABCHEM: Buy CMP and dips to ₹1,260 | Stop: ₹1,250 | Target: ₹1,460-1,520 AUTOAXLES: Buy CMP and dips to ₹1,860 |Stop: ₹1,845 | Target: ₹2,075-2,130 GREENPANEL: Buy CMP and dips to ₹302 | Stop: ₹298 | Target: ₹355-370 MarketSmith India is a stock research platform and advisory service focused on the Indian stock market. Trade name: William O'Neil India Pvt. Ltd. (Sebi Registered Research Analyst Registration No.: INH000015543) Ankush Bajaj is a Sebi-registered research analyst. His registration number is INH000010441. Raja Venkatraman is co-founder, NeoTrader. His Sebi-registered research analyst registration no. is INH000016223. Investments in securities are subject to market risks. Read all the related documents carefully before investing. Registration granted by Sebi and certification from NISM in no way guarantees performance of the intermediary or provide any assurance of returns to investors. Disclaimer: The views and recommendations given in this article are those of individual analysts. These do not represent the views of Mint. We advise investors to check with certified experts before making any investment decisions.
