Learn the maths behind ChatGPT in a free webinar with Prof M Ram Murty on Aug 15
For mathematics students, researchers, and AI enthusiasts, this is a rare opportunity to connect theory with cutting-edge technology.ABOUT THE MATHS ASPIRANTS GROUPThe Maths Aspirants Group is a WhatsApp community bringing together mathematics enthusiasts, researchers, and teachers.Led by Associate Prof Dr P Vinod Kumar from the Department of Mathematics at Thunchan College, Tirur, the group regularly organises national-level learning events like this webinar.PROF M RAM MURTY'S LEGACYProf Murty earned his PhD from MIT and has held postdoctoral fellowships at the Institute for Advanced Study and the Tata Institute of Fundamental Research. His previous faculty role at McGill University and current position at Queen's University reflect a distinguished academic journey.With over 300 research papers and 15 authored books, plus awards such as Canada's top mathematics award for graduate supervision and the CRM–Fields–PIMS Award, his expertise bridges pure mathematics and its modern applications.Register here for free- Ends
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Business Standard
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Nearly four decades ago, when the personal computer boom was in full swing, a phenomenon known as the 'productivity paradox' emerged. It was a reference to how, despite companies' huge investments in new technology, there was scant evidence of a corresponding gain in workers' efficiency. Today, the same paradox is appearing, but with generative artificial intelligence. According to recent research from McKinsey & Company, nearly eight in 10 companies have reported using generative AI, but just as many have reported 'no significant bottom-line impact'. AI technology has been racing ahead with chatbots like ChatGPT, fueled by a high-stakes arms race among tech giants and superrich start-ups and prompting an expectation that everything from back-office accounting to customer service will be revolutionised. But the payoff for businesses outside the tech sector is lagging behind, plagued by issues including an irritating tendency by chatbots to make stuff up. 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Gartner, a research and advisory firm that charts technological 'hype cycles,' predicts that AI is sliding toward a stage it calls 'the trough of disillusionment.' The low point is expected next year, before the technology eventually becomes a proven productivity tool, said John-David Lovelock, the chief forecaster at Gartner. That was the pattern with past technologies like personal computers and the internet — early exuberance, the hard slog of mastering a technology, followed by a transformation of industries and work. The winners so far have been the suppliers of AI technology and advice. They include Microsoft, Amazon, and Google, which offer AI software, while Nvidia is the runaway leader in AI chips. Executives at those companies have bragged how AI is reshaping their own work forces, eliminating the need for some entry-level coding work and making other workers more efficient. 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That's similar to an AI app developed more than a year ago for fieldworkers at Johnson Controls, a large supplier of building equipment, software and services. The company fed its operating and service manuals for its machines into an AI program that has been trained to generate a problem summary, suggest repairs and deliver it all to the technician's tablet computer. In testing, the app has trimmed 10 to 15 minutes off a repair call of an hour or more — a useful efficiency gain, but hardly a workplace transformation on its own. Fewer than 2,000 of the company's 25,000 field service workers have access to the AI helper, although the company is planning an expansion. 'It's still pretty early days, but the idea is that over time everyone will use it,' said Vijay Sankaran, the chief digital and information officer at Johnson Controls. The long-term vision is that companies will use AI to improve multiple systems, including sales, procurement, manufacturing, customer service and finance, he said. 'That's the game changer,' said Sankaran, who predicts that shift will take at least five years. Two years ago, JPMorgan Chase, the nation's largest bank, blocked access to ChatGPT from its computers because of potential security risks. Only a few hundred data scientists and engineers were allowed to experiment with AI Today, about 200,000 of the bank's employees have access to a general-purpose AI assistant — essentially a business chatbot — from their work computers for tasks like retrieving data, answering business questions and writing reports. The assistant, tailored for JPMorgan's use, taps into ChatGPT and other AI tools, while ensuring data security for confidential bank and customer information. Roughly half of the workers use it regularly and report spending up to four hours less a week on basic office tasks, the company said. The bank's wealth advisers are also employing a more specialized AI assistant, which uses bank, market and customer data to provide wealthy clients with investment research and advice. The bank says it retrieves information and helps advisers make investment recommendations nearly twice as fast as they could before, increasing sales. Lori Beer, the global chief information officer at JPMorgan, oversees a worldwide technology staff of 60,000. Has she shut down AI projects? Probably hundreds in total, she said. But many of the shelved prototypes, she said, developed concepts and code that were folded into other, continuing projects. 'We're absolutely shutting things down,' Ms. Beer said. 'We're not afraid to shut things down. We don't think it's a bad thing. I think it's a smart thing.' McAfee, the M.I.T. research scientist, agreed. 'It's not surprising that early AI efforts are falling short,' said McAfee, who is a founder of Workhelix, an AI-consulting firm. 'Innovation is a process of failing fairly regularly.'
