2019, Amazon Web Services, Inc. or its Affiliates. Yoshitaka Haribara Associate Solutions Architect Amazon Web Services Japan K.K. Overview and AWS customer stories of AI/ML startups in Japan Talk & Share: AI/ML Startups Stories @_hariby Apr. 12, 2019 CoderSchool, Ho Chi Minh City, Vietnam
Dely is running Japan's best cooking video service, Kurashiru. It strives every day to make culinary services that impact the world. Kurashiru helps many people per day, where it introduces a variety of tasty food recipes that color the dining table with cooking videos. Tens of millions of people watch and listen to the monthly recipe service in Japan. “We exceeded 15 million downloads of our mobile app, in 2.5 years since we launched the popular Kurashiru service. We believe it is critical to deliver the right content to our users at the right time using advanced technologies such as machine learning. To achieve this, we used Amazon SageMaker that helped us build and deploy the machine learning models in production in 90 days. We also improved the Click-Through Rate by 15% with content personalization”. - Masato Otake, CTO, Dely, Inc.
• SmartNews is the largest news app in Japan delivering quality information to more than 11 million monthly active users in the world. With machine learning technologies, SmartNews helps users with the most relevant and interesting news stories. The machine learning algorithms at SmartNews evaluate millions of articles, social signals, and human interactions to deliver the top 0.01% of stories, that matter most, right now. "Our mission to discover and deliver quality stories to the world is powered by AWS and particularly Amazon SageMaker, which has helped us accelerate the development cycle to serve our customers. Using Amazon SageMaker has helped us immensely in our news curation methods including article classification using deep learning, predicting Life Time Value, and composite modeling for text and image. We look forward to achieving greater heights with Amazon SageMaker and other AI solutions from AWS.” - Kaisei Hamamoto, Co-Founder and Co-CEO, SmartNews, Inc.
SIGNATE offers solutions for outsourcing, hiring, and consulting services, using AI. SIGNATE is also known as a data science community with more than 16,000 members where they compete each other to produce best models in the competitions. The company also offers a service using Amazon SageMaker that helps its clients deploy the models obtained through competitions into production applications. “We are leveraging Amazon SageMaker as our principal tool to build our machine learning models and this has made our model management system called “Aldebaran” more scalable. SageMaker has enabled seamless integration into our workflows including building, training, and deploying ML models simultaneously. Previously, it used to take us 3 to 6 months to deploy models into production. With SageMaker, we can deploy a model into production in 1 to 4 weeks, saving time and increasing productivity. SageMaker is our standard ML platform of choice for all our ML models”. - Shigeru Saito, President, CEO/CDO, SIGNATE Inc.
Location Finder (Architecture) SAs DeviceService bucket with objects Lambda function Amazon Rekognition RecognitionService Amazon API Gateway DataService Frontend Amazon DynamoDB Office/17F/West Amazon DynamoDB Data lake Web Hosting Vue.js Amazon Cognito SAs Office/17F/North SAs Office/17F/East
AWS Cloud Face rekognition reception (Architecture) Edge Device NG OK Staff User Name image result Lambda function Amazon DynamoDB Amazon Rekognition Amazon CloudWatch AWS CloudTrail Picture + Name S3 Bucket S3 Bucket API log Archive AWS Cloud USB Camera Temporary security credential FaceID