Latest news with #DeepL
Time Magazine
a day ago
- Business
- Time Magazine
10 Ways AI Can Support Remote Workers
This article is published by a partner of TIME. By Su Guillory It's become impossible to ignore the impact and potential of artificial intelligence. It's now become a tool we use to organize our lives, do research, and entertain ourselves. Every day, we're discovering new ways AI can make our lives easier and more productive. That goes for remote workers and digital nomads as well. Whether you do your work on a beach in Bali or take video calls while traipsing from one European country to another, AI can be of great use to you as an employee or business owner. Why AI? If you're resistant to allowing this technology to lend you a hand, you might want to reconsider. As a digital nomad, you may occasionally find it difficult to put the same focus on your work while traveling that you do while in the office, but AI doesn't miss a beat. It helps you sustain your business even when you're out-of-pocket. AI also helps you reduce the time spent on repetitive tasks, such as email replies, data entry, or content repurposing. It allows you to serve more clients without taking on more work. And as a citizen of the world, you can also serve clients in other countries without being fluent in their language. 10 Ways AI Can Help Remote Workers 1. Translate Content If you're a digital nomad or working abroad, even if you're fluent in the local language, you may not be well-versed in business or technical terms. Or you may want to offer your services to the local community, and in that case, you'll need to translate documents and marketing materials. Tools like Google Translate and DeepL use neural machine translation (NMT) and large language models (LLM) to translate images and text. You can take a photo with your phone and get the image's text instantly translated, or upload a file through your desktop. 2. Schedule Across Time Zones It can be a pain to try to calculate what time it is in your client's time zone, especially with different daylight saving time schedules. Use an AI calendar tool like Clockwise to find times that work for everyone you need to meet with. You can also add Focus Time when you need to concentrate on your work and not get scheduled for calls with others on your team. 3. Automate Customer Support Rather than hiring a customer service representative for your company, use an AI chatbot to serve your customers, even when you're out of the office. Today's chatbots can do a lot. You can feed them answers to frequently asked questions or set them up to process returns. Most customer issues can be resolved this way, which can cut down on the amount of human interaction needed. 4. Streamline Client Communications If you find yourself writing the same emails over and over again, AI tools like Gmail's built-in compose window can draft emails you can modify. Or you can create templates to respond to common questions your clients or coworkers ask. You can also install AI Mail Assistant to create personalized responses, translate your emails, and correct errors. 5. Learn a Language the Smart Way If Duolingo isn't cutting it in helping you get fluent in a language fast, try an AI-powered language learning tool like Speak. It provides conversation opportunities, and it adapts as you learn. The tool will create a personalized curriculum that helps you reach your learning goals faster. 6. Be a Better Writer In today's business world, flawless grammar and syntax are a there's no excuse for errors with AI! Grammarly can be installed as a plugin you can use with Windows, Google Drive, and even your phone. It corrects your mistakes and makes suggestions for better content. ChatGPT offers a way to polish your writing. Paste what you've written, and the tool can smooth awkward transitions, modify the tone to better fit your audience, or optimize for SEO. You can also take one piece of content—a blog post, for example—and turn it into multiple other types of content, such as a LinkedIn post or an X update. 7. Make Meetings Less Painful Staying connected with your team likely means countless video meetings. You already know that sometimes when you pause to take notes, you miss important information on the call. AI Meeting Notes auto-joins calls on Zoom, Microsoft Teams, and Google Meet and even takes notes so you can focus on the call. It also automatically creates action items from the call. If you miss a meeting, you can get a 30-second recap. 8. Never Miss a Deadline If your digital nomad lifestyle involves heavy travel, you run the risk of missing a deadline or letting something slip through the cracks. AI tools like Motion take over task planning. The tool prioritizes your most important tasks and helps you balance your workload to ensure you meet deadlines. 9. Research Faster Artificial intelligence is even changing how we research for our work. Rather than Googling a question and then sifting through the results, AI tools like can do the heavy lifting for you. Input a query and you'll get an in-depth response on whatever it is you're researching. It's a great way to get data on your competitors, market, customer behaviors, and trends. 10. Close More Deals If you're an entrepreneur who sells online, you can automate the sales process with AI-driven customer relationship management software. For example, ActiveCampaign can automate workflows and communications so that a lead at the top of your funnel is more likely to buy from you. It uses intelligent segmentation and predictive sending to make sure that every message is sent at the right time to the right audience. Harness the Power of AI for Remote Work These are just a few examples of the myriad AI-powered tools for work. Find the ones that make you more productive, and get back to enjoying that nomadic life. Related Articles: About the Author: Su Guillory is an expat coach and business content creator. She supports women who want to move to Italy. Su has been published on AllBusiness, Forbes, SoFi, Lantern, Nav, and more, and writes about entrepreneurship, finance, marketing, and living as an expat in Italy.
Bloomberg
4 days ago
- Business
- Bloomberg
Three European Startups with World-Changing Potential
Jaroslaw Kutylowski, CEO and founder of DeepL; Mati Staniszewski, co-founder of ElevenLabs; and Torsten Reil, co-founder and co-CEO of Helsing, join Bloomberg's Amy Thomson to discuss what it takes to build a European startup with global impact. The three tech leaders analyze the latest applications of AI, the opportunities it brings, and the challenges of building trust throughout society. (Source: Bloomberg)
Mid East Info
12-06-2025
- Business
- Mid East Info
DeepL first to deploy NVIDIA DGX SuperPOD with DGX GB200 systems in Europe, advancing Language AI with powerful generative features and enhanced user experience
DeepL's Language AI platform can now translate the entire web into another language in just 18.5 days – down from 194 days Paris, France – 11th June 2025 – DeepL, a leading global Language AI company, today announced the deployment of an NVIDIA DGX SuperPOD with DGX GB200 systems. This transformative computing platform will enable DeepL to translate the entirety of the internet – which currently takes 194 days of nonstop processing – in just over 18 days, marking a significant leap forward in DeepL's research and product capabilities. This deployment marks the first deployment of DGX SuperPOD with DGX GB200 systems in Europe, which is now operational at DeepL's partner EcoDataCenter in Sweden. Driving Research and Innovation The new cluster will enhance DeepL's research capabilities, unlocking powerful generative features that will allow the Language AI platform to expand its product offerings significantly. With this advanced infrastructure, DeepL will approach model training in an entirely new way, paving the path for a more interactive experience for its users. In the short term, users can expect immediate enhancements, including increased quality, speed and nuance in translations, along with greater interactivity and the introduction of more generative AI features. Looking to the future, multi-modal models will become the standard at DeepL. The long-term vision includes further exploration of generative capabilities and an increased focus on personalization options, ensuring that every user's experience is tailored and unique. Technical Advancements This deployment will provide the additional computing power necessary to train new models and develop innovative features for DeepL's Language AI platform. NVIDIA DGX SuperPOD with DGX GB200 systems, with its liquid-cooled, rack-scale design and scalability for tens of thousands of GPUs, will enable DeepL to run high-performance AI models essential for advanced generative applications. This marks DeepL's third deployment of an NVIDIA DGX SuperPOD, now surpassing the capabilities of DeepL Mercury, its previous flagship supercomputer. 'At DeepL, we take pride in our unwavering commitment to research and development, which has consistently allowed us to deliver solutions that outshine our competitors. This latest deployment further cements our position as a leader in the Language AI space,' said Jarek Kutylowski, CEO and Founder of DeepL. 'By equipping our research infrastructure with the latest technology, we not only enhance our existing offering but also explore exciting new products. The pace of innovation in AI is faster than ever, and integrating these advancements into our tech stack is essential for our continued growth.' Delivering Extraordinary Translation Quality The deployment of these new racks will make DeepL faster and more accurate than ever before. Standout capabilities of the new clusters include: Translating the entire web into another language, which currently takes 194 days of non-stop processing, will now be achievable in just 18.5 days. The time required to translate the Oxford English Dictionary into another language will drop from 39 seconds to two seconds. Translating Marcel Proust's In Search of Lost Time , the world's longest book, will be reduced from 0.95 seconds to just 0.09 seconds. Overall, the new clusters will deliver 30 times the text output compared to previous capabilities. 'Europe needs robust AI deployments to maintain its competitive edge, drive innovation, and address complex challenges across industries' said Charlie Boyle, Vice President of DGX systems at NVIDIA. 'By harnessing the performance and efficiency of our latest AI infrastructure, DeepL is poised to accelerate breakthroughs in language AI and deliver transformative new experiences for users across the continent and beyond.' About DeepL DeepL is on a mission to break down language barriers for businesses everywhere. Over 200,000 businesses and governments and millions of individuals across 228 global markets trust DeepL's Language AI platform for human-like translation in both written and spoken formats, as well as natural, improved writing. Designed with enterprise security in mind, companies around the world leverage DeepL's AI solutions that are specifically tuned for language to transform business communications, expand markets and improve productivity. Founded in 2017 by CEO Jaroslaw (Jarek) Kutylowski, DeepL today has over 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP and Index Ventures.
Korea Herald
11-06-2025
- Business
- Korea Herald
DeepL first to deploy NVIDIA DGX SuperPOD with DGX GB200 systems in Europe, advancing Language AI with powerful generative features and enhanced user experience
DeepL's Language AI platform can now translate the entire web into another language in just 18.5 days – down from 194 days PARIS, June 11, 2025 /PRNewswire/ -- DeepL, a leading global Language AI company, today announced the deployment of an NVIDIA DGX SuperPOD with DGX GB200 systems. This transformative computing platform will enable DeepL to translate the entirety of the internet – which currently takes 194 days of nonstop processing – in just over 18 days, marking a significant leap forward in DeepL's research and product capabilities. This deployment marks the first deployment of DGX SuperPOD with DGX GB200 systems in Europe, which is now operational at DeepL's partner EcoDataCenter in Sweden. Driving Research and Innovation The new cluster will enhance DeepL's research capabilities, unlocking powerful generative features that will allow the Language AI platform to expand its product offerings significantly. With this advanced infrastructure, DeepL will approach model training in an entirely new way, paving the path for a more interactive experience for its users. In the short term, users can expect immediate enhancements, including increased quality, speed and nuance in translations, along with greater interactivity and the introduction of more generative AI features. Looking to the future, multi-modal models will become the standard at DeepL. The long-term vision includes further exploration of generative capabilities and an increased focus on personalization options, ensuring that every user's experience is tailored and unique. Technical Advancements This deployment will provide the additional computing power necessary to train new models and develop innovative features for DeepL's Language AI platform. NVIDIA DGX SuperPOD with DGX GB200 systems, with its liquid-cooled, rack-scale design and scalability for tens of thousands of GPUs, will enable DeepL to run high-performance AI models essential for advanced generative applications. This marks DeepL's third deployment of an NVIDIA DGX SuperPOD, now surpassing the capabilities of DeepL Mercury, its previous flagship supercomputer. "At DeepL, we take pride in our unwavering commitment to research and development, which has consistently allowed us to deliver solutions that outshine our competitors. This latest deployment further cements our position as a leader in the Language AI space," said Jarek Kutylowski, CEO and Founder of DeepL. "By equipping our research infrastructure with the latest technology, we not only enhance our existing offering but also explore exciting new products. The pace of innovation in AI is faster than ever, and integrating these advancements into our tech stack is essential for our continued growth." Delivering Extraordinary Translation Quality The deployment of these new racks will make DeepL faster and more accurate than ever before. Standout capabilities of the new clusters include: "Europe needs robust AI deployments to maintain its competitive edge, drive innovation, and address complex challenges across industries," said Charlie Boyle, Vice President of DGX systems at NVIDIA. "By harnessing the performance and efficiency of our latest AI infrastructure, DeepL is poised to accelerate breakthroughs in language AI and deliver transformative new experiences for users across the continent and beyond." About DeepL DeepL is on a mission to break down language barriers for businesses everywhere. Over 200,000 businesses and governments and millions of individuals across 228 global markets trust DeepL's Language AI platform for human-like translation in both written and spoken formats, as well as natural, improved writing. Designed with enterprise security in mind, companies around the world leverage DeepL's AI solutions that are specifically tuned for language to transform business communications, expand markets and improve productivity. Founded in 2017 by CEO Jaroslaw (Jarek) Kutylowski, DeepL today has over 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP and Index Ventures. For more information, visit
CNBC
11-06-2025
- Business
- CNBC
German startup DeepL says latest Nvidia chips lets it translate the whole internet in just 18 days
DeepL on Wednesday said it was deploying one of the latest Nvidia systems that would allow the German startup to translate the whole internet in just 18 days. This is sharply down from 194 days previously. , DeepL is a startup that has developed its own AI models for and competes with Google Translate. Nvidia is meanwhile looking to expand the customer base for its chips — which are designed to power artificial intelligence applications — beyond hyperscalers such as Microsoft and Amazon. It also highlights how startups are using Nvidia's high-end products to build AI applications, which are viewed as the next step after foundational models, such as those designed by OpenAI. The Cologne-based company is deploying an Nvidia system known as DGX SuperPOD. Each of the DGX SuperPOD server racks contains 36 B200 Grace Blackwell Superchips, one of the company's latest products on the market. Nvidia's chips are required to train and run huge AI models, such as the ones designed by DeepL. "The idea is, of course, to provide a lot more computational power to our research scientists to build even more advanced models," Stefan Mesken, chief scientist at DeepL, told CNBC. Mesken said the upgraded infrastructure would help enhance current products like Clarify, which the company launched this year. Clarify is a tool that asks users questions to make sure context is incorporated in the translation. "It just wasn't technically feasible until recently with the advancements that we've made in our next-gen efforts. This has now became possible. So those are the kinds of advances that we continue to hunt for," Mesken said.
