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Enabling human-centric support with generative AI | MIT Technology Review
It’s a stormy holiday weekend, and you’ve just received the last notification you want in the busiest travel week of the year: The first leg of your flight is significantly delayed. You might expect this means you’ll be sitting on hold with airline customer service for half an hour. But this time, the process looks…
Pairing live support with accurate AI outputs | MIT Technology Review
A live agent spends hours each week manually documenting routine interactions. Another combs through multiple knowledge bases to find the right solution, scrambling to piece it together while the customer waits on hold. A third types out the same response they’ve written dozens of times before. These repetitive tasks can be draining, leaving less time…
Accelerating AI innovation through application modernization | MIT Technology Review
Business applications powered by AI are revolutionizing customer experiences, accelerating the speed of business, and driving employee productivity. In fact, according to research firm Frost & Sullivan’s 2024 Global State of AI report, 89% of organizations believe AI and machine learning will help them grow revenue, boost operational efficiency, and improve customer experience. Take for…
The Download: digital twins, and where AI data really comes from | MIT Technology Review
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Digital twins of human organs are here. They’re set to transform medical treatment. Steven Niederer, a biomedical engineer at the Alan Turing Institute and Imperial College London, has a cardboard box filled with…
Roundtables: The Worst Technology Failures of 2024 | MIT Technology Review
Recorded on December 17, 2024 The Worst Technology Failures of 2024 Speakers: Antonio Regalado, senior editor for biomedicine, and Niall Firth, executive editor. MIT Technology Review publishes an annual list of the worst technologies of the year. This year, The Worst Technology Failures of 2024 list was unveiled live by our editors. Hear from MIT Technology…
The Download: AI emissions and Google’s big week | MIT Technology Review
AI’s emissions are about to skyrocket even further It’s no secret that the current AI boom is using up immense amounts of energy. Now we have a better idea of how much. A new paper, from a team at the Harvard T.H. Chan School of Public Health, examined 78% of all data centers in the…
Why materials science is key to unlocking the next frontier of AI development | MIT Technology Review
The Intel 4004, the first commercial microprocessor, was released in 1971. With 2,300 transistors packed into 12mm2, it heralded a revolution in computing. A little over 50 years later, Apple’s M2 Ultra contains 134 billion transistors. The scale of progress is difficult to comprehend, but the evolution of semiconductors, driven for decades by Moore’s Law,…