{"id":624,"date":"2020-11-25T22:28:30","date_gmt":"2020-11-25T22:28:30","guid":{"rendered":"https:\/\/machine-learning.webcloning.com\/2020\/11\/25\/amazon-lex-launches-support-for-latin-american-spanish-and-german\/"},"modified":"2020-11-25T22:28:30","modified_gmt":"2020-11-25T22:28:30","slug":"amazon-lex-launches-support-for-latin-american-spanish-and-german","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2020\/11\/25\/amazon-lex-launches-support-for-latin-american-spanish-and-german\/","title":{"rendered":"Amazon Lex launches support for Latin American Spanish and German"},"content":{"rendered":"<div id=\"\">\n<p>\u00a1Amazon Lex lanza soporte para espa\u00f1ol para Am\u00e9rica Latina! Amazon Lex startet auf Deutsch!<\/p>\n<p><a href=\"https:\/\/aws.amazon.com\/lex\/\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Lex<\/a> is a service for building conversational interfaces into any application using voice and text. Starting today, Amazon Lex supports Latin American Spanish and German. Now you can easily create virtual agents, conversational IVR systems, self-service chatbots, or application bots to answer and resolve questions for your Latin American Spanish and German speakers.<\/p>\n<h2>Customer stories<\/h2>\n<p>To increase employee productivity and provide a better customer service experience, companies are looking to create more ways for their customers to get their questions answered and tasks completed. See how some of our customers are using Amazon Lex to create virtual contact center agents, chat interfaces, and knowledge management bots.<\/p>\n<h3>Xpertal<\/h3>\n<p>Fomento Econ\u00f3mico Mexicano, S.A.B. de C.V., or FEMSA, is a Mexican multinational beverage and retail company. Xpertal Global Services is FEMSA\u2019s Service Unit, offering consulting, IT, back-office transactional, and consumable procurement services to the rest of FEMSA\u2019s business units. One of Xpertal\u2019s services operates an internal help desk comprised of 150-agent Contact Center that handles approximately 4 million calls per year.<\/p>\n<p>As Xpertal shares in the post <a href=\"https:\/\/aws.amazon.com\/blogs\/machine-learning\/how-xpertal-is-creating-the-contact-center-of-the-future-with-amazon-lex\/\" target=\"_blank\" rel=\"noopener noreferrer\">How Xpertal is creating the Contact Center of the future with Amazon Lex<\/a>, they first started to build Amazon Lex bots with US Spanish for multiple internal web portals and integrated it with <a href=\"https:\/\/aws.amazon.com\/connect\/\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Connect<\/a> to their Contact Center. With today\u2019s launch of Latin American Spanish, they are excited to migrate and create an even more localized experience for their customers.<\/p>\n<p>Xpertal\u2019s Contact Center Manager, Chester Perez, shares, \u201cOur goal is to keep evolving as an organization and find better ways to deliver our products and improve customer satisfaction. Our talented internal team developed various initiatives focused on bringing more intelligence and automation into our contact center to provide self-service capabilities, improve call deflection rates, reduce call wait times, and increase agent productivity. Amazon Lex is simple to use and the Contact Center team was already creating bots after just a 1-hour enablement session.<\/p>\n<p>\u201cThanks to AWS AI services, we can finally focus on how to apply the technology for our users\u2019 benefit and not on what\u2019s behind it.\u201d<\/p>\n<h3>Decadia<\/h3>\n<p>Amazon Lex is also opening opportunities for Decadia, a provider of company pension plans in Germany. Joerg Passmann, an Executive Director at Decadia, says, \u201cProviding quality corporate pension plans is our passion, and the concerns of our pension members are close to our hearts at Decadia. We\u2019d love to address them around the clock. Amazon Lex gives us the opportunity to process inquiries outside of our regular service hours and to be available with adequate assistance at any time. We look forward to exploring the diverse fields of application as part of a pilot phase.\u201d<\/p>\n<h3>E.ON<\/h3>\n<p>E.ON is the largest energy company in Europe. Dr. Juan Bernab\u00e9-Moreno, Chief Data Officer, says, \u201cThe energy world is changing at an unprecedented speed, and E.ON is actively shaping it. Handling the ever-increasing complexity requires a new approach to how we organize and manage our knowledge to better understand our customers, our competitors, our regulatory and political environment, and also the emerging trends and the new players. For that, we created an AI-powered knowledge management engine called Sophia. With Amazon Lex, we want to bring Sophia closer to each and every employee in the company, so that our decisions are always taken considering all the facts and knowledge available\u2026 in other words, we want to make Sophia part of each and every conversation, and Lex capabilities are quite promising to humanize Sophia.\u201d<\/p>\n<h3>Banco Davivienda<\/h3>\n<p>Banco Davivienda S.A. is one of the leading banks in Colombia. Ricardo Orjuela Garavito, the Director of Client Analytics at Davivienda, shares, \u201cOur executives need easy access to the figures and values they need to make timely, informed decisions for the business. To facilitate this process, we used Amazon Lex to build a chat interface that can interpret and answer information requests accurately. Lex has been easy to use, customize, and integrate with other AWS services. The initial results show that this chat application is quite useful and starting to save our executives valuable time. We see opportunities where we can use Amazon Lex to optimize customer service interactions and other internal processes.\u201d<\/p>\n<h2>How to get started<\/h2>\n<p>Start exploring how you can apply Amazon Lex to your business processes. \u00a0This post shows you how to <a href=\"https:\/\/aws.amazon.com\/blogs\/machine-learning\/expanding-amazon-lex-conversational-experiences-with-us-spanish-and-british-english\/\" target=\"_blank\" rel=\"noopener noreferrer\">Expand Amazon Lex conversational experiences with Spanish<\/a>. To use the new Amazon Lex languages, simply choose the language when creating a new bot via the <a href=\"https:\/\/console.aws.amazon.com\/lex\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Lex console<\/a> or SDK.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-18957 size-full\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2020\/11\/25\/LexLanguage_DE.jpg\" alt=\"\" width=\"800\" height=\"451\"><\/p>\n<p>For more information, see the <a href=\"https:\/\/docs.aws.amazon.com\/lex\/latest\/dg\/what-is.html\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Lex Developer Guide<\/a>.<\/p>\n<h2>Conclusion<\/h2>\n<p>Amazon Lex is a powerful service for building conversational interfaces into your applications. Try using it to help increase call deflect rates, increase first call resolution rates, and reduce call times in your contact center. Or add it to the front of your knowledge bases to help your employees and customers find the answers they need faster. See all the ways in which other <a href=\"https:\/\/aws.amazon.com\/lex\/customers\/\" target=\"_blank\" rel=\"noopener noreferrer\">customers are using Amazon Lex<\/a>.<\/p>\n<hr>\n<h3>About the Author<\/h3>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-18733 alignleft\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2020\/11\/20\/Esther-Lee.jpg\" alt=\"\" width=\"100\" height=\"132\"><strong>Esther Lee<\/strong> is a Product Manager for AWS Language AI Services. She is passionate about the intersection of technology and education. Out of the office, Esther enjoys long walks along the beach, dinners with friends and friendly rounds of Mahjong.<\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/aws.amazon.com\/blogs\/machine-learning\/amazon-lex-launches-support-for-latin-american-spanish-and-german\/<\/p>\n","protected":false},"author":0,"featured_media":625,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/624"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=624"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/624\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/625"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=624"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=624"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=624"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}