There are 18 posts tagged AI (this is page 2 of 2).
When bombarded almost weekly with reports of the latest hair-raising machine learning or facial recognition capabilities, it is easy to tune out the rising clamor over advancing AI while a human-obsolete world fails to materialize in our midst. Even so, headlines this week like Microsoft Gets Exclusive Access to AI Deemed ‘Too Dangerous To Release’ […]
AI and Machine Learning are everywhere now, and as more services go global, our ability to localize these platforms across cultures will continue to define users’ ability to interact with them effectively. But can AI tools do everything they are supposed to? With a growing number of smart devices and 5G edge nodes in our […]
As we covered in our previous look at smart technology, AI, with the help of AI translations, and big data have a remarkable capacity to escape the biases of human thinking and generate far-reaching insights. Nevertheless, it is rapidly becoming apparent that AI is not always as Teflon-resistant to the shortcomings of human judgement as […]
For those of us following developments in the IT and technology sectors, the COVID-19 outbreak has largely been the story of an unprecedented digital transformation as organizations navigate the challenges of operating remotely and look to technology-based solutions. Just as interesting though, is what the outbreak is revealing about innovative trends already underway before it […]
October 16-18, Singapore, TAUS 2019, Mandarin Orchard Hotel Deep in the heart of the historic Mandarin Orchard Hotel in Singapore, leaders of localization and translation companies met to discuss nothing less than the very future of the industry. Unbeknownst to guests and travelers, the hotel’s conference room hosts TAUS 2019, an event where industry giants […]
The industry is projected to continue an upwards trend in growth as more companies utilize localization strategies to upgrade their multinational operations, with many allocating line item budgets specifically for localization. As consumers move away from traditional forms of media consumption, the industry will see a greater demand for video and voice localization for a range of devices and platforms, and embrace newer methods to improve agility and adaptability. Humans will still remain relevant since AI-backed advancements in machine translation technology, however remarkable, will not spell doom for LSPs and translators; instead, their adoption will popularize transcreation services and specialized content skills.
