{"id":883,"date":"2021-09-18T20:00:58","date_gmt":"2021-09-18T20:00:58","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2021\/09\/18\/arcelik-hosts-global-aws-deepracer-league-using-new-live-feature-to-educate-over-200-employees-on-machine-learning\/"},"modified":"2021-09-18T20:00:58","modified_gmt":"2021-09-18T20:00:58","slug":"arcelik-hosts-global-aws-deepracer-league-using-new-live-feature-to-educate-over-200-employees-on-machine-learning","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2021\/09\/18\/arcelik-hosts-global-aws-deepracer-league-using-new-live-feature-to-educate-over-200-employees-on-machine-learning\/","title":{"rendered":"Ar\u00e7elik hosts global AWS DeepRacer League using new LIVE feature to educate over 200 employees on machine learning"},"content":{"rendered":"<div id=\"\">\n<p><em>This is a guest post by P\u0131nar K\u00f6se Kulacz, Innovation Director at Ar\u00e7elik.<\/em><\/p>\n<p>Ar\u00e7elik, the leading global manufacturer of household appliances, has collaborated with AWS since 2019 to increase efficiency and innovate on new services. Here at Ar\u00e7elik, we believe that data and artificial intelligence provide a critical advantage over competitors in the global consumer goods market. With the objective to educate over 1,000 data and AI practitioners by the end of 2023, Ar\u00e7elik launched the AI2 program in collaboration with AWS to strengthen AI and machine learning (ML) capabilities across the company. The AI2 program\u2019s objective is to take individuals from technical and non-technical backgrounds through a journey where they can learn and experience value creation via data and AI in all areas of Ar\u00e7elik\u2019s business. As phase one of Ar\u00e7elik\u2019s AI2 program, Ar\u00e7elik hosted their first global <a href=\"https:\/\/aws.amazon.com\/deepracer\/\" target=\"_blank\" rel=\"noopener noreferrer\">AWS DeepRacer<\/a> League to help upskill their employees on AI and ML.<\/p>\n<h2>Why AWS DeepRacer?<\/h2>\n<p>AWS DeepRacer is the fastest way to get rolling with ML through a global racing league, cloud-based 3D racing simulator, and fully autonomous 1\/18th scale race car driven by reinforcement learning. AWS DeepRacer helps employees with technical and non-technical backgrounds in exploring, problem-solving, and building skills with ML. AWS DeepRacer also inspires ML innovation in the workplace by raising awareness about ML among employees.<\/p>\n<p>To upskill the AI and ML capabilities of their employees all over the world, Ar\u00e7elik is convinced that the best path to learning is with a fun, hands-on project. Due to COVID-19 constraints, face-to-face solutions weren\u2019t an option. The fully virtual approach for education and support in AWS DeepRacer enabled Ar\u00e7elik to engage with employees remotely as they progressed through their ML journey. The competitive aspect of AWS DeepRacer helped foster team building around the globe, maintaining high engagement in the program.<\/p>\n<h2>Ar\u00e7elik\u2019s AWS DeepRacer journey<\/h2>\n<p><a href=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2021\/09\/07\/ML-4862-img1-1.png\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-27766 size-full\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2021\/09\/07\/ML-4862-img1-1.png\" alt=\"\" width=\"650\" height=\"380\"><\/a><\/p>\n<p>To get started on their event, Ar\u00e7elik established a steering committee and worked with the AWS customer team and AWS DeepRacer Specialist Solutions Architects (the AWS DeepRacer Pit Crew) to work through the League format, racetrack, and event calendar. Ar\u00e7elik and AWS designed a virtual League in March of 2021. This event received strong engagement with over 200 participants from 13 countries submitting over 300 unique models to the leaderboard. Overall, Arcelik employees dedicated over 2,800 hours of reinforcement learning model training. Ar\u00e7elik hosted a qualification round, and then a live Finals Race where the race was live-streamed on a special broadcast on March 26, 2021, to hundreds of employees. During the lead-up to the final race, AWS Pit Crew members set up office hours to answer any questions. Check out the event videos to see which Ar\u00e7elik participant took home first place.<\/p>\n<p><a href=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2021\/09\/07\/ML-4862-img2.png\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-27767 size-full\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2021\/09\/07\/ML-4862-img2.png\" alt=\"\" width=\"650\" height=\"564\"><\/a><\/p>\n<h2>Taking ML skills from the racetrack into the real world<\/h2>\n<p>With over 200 participants in the League, the Ar\u00e7elik team enjoyed the learning process. 89% of the participants stated they would race in an AWS DeepRacer League again in the future. When asked about what they enjoyed in the journey, one participant noted, \u201c<em>Seeing and watching the simulation work its magic was the most addictive part. Changing, cloning models, and then rerunning the analysis was fun.<\/em>\u201d Another participant noted, \u201c<em>I could participate without knowing anything about ML.<\/em>\u201d<\/p>\n<p><a href=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2021\/09\/07\/ML-4862-img3.png\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-27768 size-full\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2021\/09\/07\/ML-4862-img3.png\" alt=\"\" width=\"650\" height=\"379\"><\/a><\/p>\n<p>What\u2019s next for Ar\u00e7elik? The AI2 program is continuing with self-paced, online learning modules named the AI2 Master program. The program consists of three different levels. Level 1 is composed of 50\u201355 of hours of self-paced digital trainings, whitepapers, and blog posts designed for less technical employees who want to get familiar with AI and ML from the beginning with a structured learning path provided by AWS Training and Certification and various platforms such as Coursera. Level 2 and Level 3 are composed of training and hands-on experience for employees with technical profiles.<\/p>\n<h2>Get started with your own AWS DeepRacer LIVE race<\/h2>\n<p>We hope Ar\u00e7elik\u2019s story has inspired you to start racing with your colleagues. Now, racers from anywhere in the world can compete with each other virtually and in real time from within the AWS DeepRacer console, while colleagues, friends, and family watch a LIVE broadcast of the event online. Previously, this option was only available to qualifiers in the AWS DeepRacer League\u2019s monthly Pro Division finale. The new LIVE event option for community races gives every participant a chance to post the fastest lap time while manually managing their agent\u2019s speed within the AWS DeepRacer simulation. Create an <a href=\"https:\/\/aws.amazon.com\/deepracer\/\" target=\"_blank\" rel=\"noopener noreferrer\">AWS DeepRacer LIVE event<\/a> now and learn more in <a href=\"https:\/\/docs.aws.amazon.com\/deepracer\/\" target=\"_blank\" rel=\"noopener noreferrer\">AWS DeepRacer documentation<\/a>.<\/p>\n<h2>About Ar\u00e7elik<\/h2>\n<p>With over 30,000 employees throughout the world, Ar\u00e7elik\u2019s global operations include sales and marketing offices in 43 countries, and 22 production facilities in 8 countries and 12 brands (Ar\u00e7elik, Beko, Grundig, Blomberg, ElektraBregenz, Arctic, Leisure, Flavel, Defy, Altus, Dawlance, Voltas Beko). As Europe\u2019s second largest white goods company by market share (based on volumes), Ar\u00e7elik reached a consolidated turnover of 5 billion Euros in 2020. Ar\u00e7elik\u2019s R&amp;D and Design Centers across the globe, are home to over 1,600 researchers and hold more than 3,000 international patent applications to date.<\/p>\n<p>Ar\u00e7elik is named the \u201cIndustry Leader\u201d in the Durable Home Appliances category for the 2nd year in a row in Dow Jones Sustainability Index 2020 and, in accordance with PAS 2060 Carbon Neutrality Standard, became carbon-neutral in global production plants in 2019 and 2020 fiscal years with its own carbon credits. Ar\u00e7elik\u2019s mission is \u2018Respecting the World, Respected Worldwide.\u2019<\/p>\n<p><a href=\"http:\/\/www.arcelikglobal.com\" target=\"_blank\" rel=\"noopener noreferrer\">www.arcelikglobal.com<\/a><\/p>\n<h2>About the Ar\u00e7elik AI2 program<\/h2>\n<p>The AWS DeepRacer League was designed as the first step of a broader enablement program: AI2 (AI-Square)The AI2 program\u2019s objective is to take individuals from various technical and non-technical backgrounds to a journey where they can learn and experience value creation via data and AI in all areas of Ar\u00e7elik\u2019s business. The AI2 program consists of three steps: Immerse, Master, and Act. Crafted carefully in collaboration with AWS, the AI2-Immerse step consists of an AWS DeepRacer League to create awareness. The AI2-Master step is an intensive learning program and relies heavily on self-paced, online learning solutions, supported by hands-on workshops. The AI2-Act step includes Amazon digital innovation and discovery workshops.<\/p>\n<p><em>The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post.<\/em><\/p>\n<hr>\n<h3>About the Authors<\/h3>\n<p><strong><a href=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2021\/09\/13\/Pinar_KoseKulacz.jpg\"><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-27982 alignleft\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2021\/09\/13\/Pinar_KoseKulacz.jpg\" alt=\"\" width=\"100\" height=\"128\"><\/a>P\u0131nar K\u00f6se Kulacz<\/strong>, BSc in Computer Engineering \u201898 and MBA 2005, held various technical and business roles in ICT and Telecoms as a Professional and entrepreneur both in Turkey and abroad. She has been working in Ar\u00e7elik Group, holding various roles like IoT Program Management, Digital Transformation Management and Data and AI Management.<\/p>\n<p><strong><a href=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2021\/09\/13\/hba-profile-2019-photo-23.08.2019-09-16-59.jpg\"><img decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-27981 alignleft\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59\/2021\/09\/13\/hba-profile-2019-photo-23.08.2019-09-16-59.jpg\" alt=\"\" width=\"100\" height=\"121\"><\/a>Hasan-Basri AKIRMAK<\/strong> (BSc and MSc in Computer Engineering and Executive MBA in Graduate School of Business) is a Senior Solutions Architect at Amazon Web Services. He is a business technologist advising enterprise segment clients. His area of specialty is designing architectures and business cases on large scale data processing systems and Machine Learning solutions. Hasan has delivered Business development, Systems Integration, Program Management for clients in Europe, Middle East and Africa. Since 2016 he mentored hundreds of entrepreneurs at startup incubation programs pro-bono.<\/p>\n<p>       <!-- '\"` -->\n      <\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/aws.amazon.com\/blogs\/machine-learning\/arcelik-hosts-global-aws-deepracer-league-using-new-live-feature-to-educate-over-200-employees-on-machine-learning\/<\/p>\n","protected":false},"author":0,"featured_media":884,"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\/883"}],"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=883"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/883\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/884"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=883"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=883"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=883"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}