My past blogs and demos
Kaz Sato / Staff Developer Advocate, Cloud AI, Google Inc.
Kaz Sato, a Staff Developer Advocate of Cloud AI, has shared over 25 ML/AI blogs and demos at Google Cloud official blog that have been featured by Jeff Dean, Eric Schmidt, Newsweek, and The New Yorker. Having presented in 17 countries, he also regularly speaks at Google I/O and Cloud Next. Additionally, he tweets about ML/AI to his 19K followers.
佐藤一憲 / グーグル合同会社 Cloud AI デベロッパーアドボケイト
AI/ML担当のデベロッパーアドボケイトとしてGoogle Cloud US本社のブログ記事やドキュメント執筆、デモ開発を担当。2016年より25件以上を掲載し、ジェフディーン、エリックシュミット、ニューズウィーク誌、ニューヨーカー誌により紹介された。延べ17か国のイベントで講演し、Google I/OやCloud Nextにも例年登壇。ツイッターでは1万9千人のフォロワーに向けてAI/MLの情報を日々共有している。
- Twitter: @kazunori_279
- GitHub: kazunori279
- LinkedIn: kazunori279
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- Qiita: kazunori279
- Hatena blog: kazunori279
- Medium: kazunori279
- Infinite Nature: Generative Recommendation and RAG with Gemini models, Multimodal embeddings and Vector Search
- Vertex AI Embeddings API + Matching Engine demo: Text and image semantics search demo
- Nomic AI Atlas: Mercari embeddings visualization: with Vertex AI Embeddings API
- Nomic AI Atlas: Stack Overflow embeddings visualization: with Vertex AI Embeddings API
- MatchIt Fast: Image and news article similarity search with Vertex AI Multimodal embeddings and Vector Search, with Groovenauts
- Tensor Processing Unit (TPU) works pt.1 and pt.2: Explains the TPU design archtecture. See the blog for more detail
- Rock Papar Scissors Machine: A simple demo for explaining how ML with linear model works
- Find your candy: Candy sorter demo for Cloud Next with TensorFlow and ML APIs. See the blog for more details
- What is Cloud Vision API: A fun robot demo with Vision API
- TensorFlow for absolute beginners (codelab)
- Google Cloud blog: Infinite Nature and the nature of industries: This 'wild' demo shows the diverse possibilities of AI
- Google Cloud blog: Your RAGs powered by Google Search technology, part 1
- Google Cloud blog: Your RAGs powered by Google Search technology, part 2
- GitHub GoogleCloudPlatform repo: Vertex AI Agent Builder & Flutter Demo
- GitHub GoogleCloudPlatform repo: Introduction to Vertex AI Embeddings - Text & Multimodal
- Google Cloud document: About hybrid search
- GitHub GoogleCloudPlatform repo: Combining Semantic & Keyword Search: A Hybrid Search Tutorial with Vertex AI Vector Search
- GitHub GoogleCloudPlatform repo: Using "task type" embeddings for improving RAG search quality
- Google Cloud blog: Enhancing your gen AI use case with Vertex AI embeddings and task types
- Google IO 2024 session: Build generative AI agents with Vertex AI Agent Builder and Flutter
- Google Cloud Tech channel: Grounding in Gemini with Vertex AI Search
- Next Tokyo 2024 session: Applying generative AI to enterprise systems (JP only)
- Google Cloud Tech channel: New "task type" embedding from the DeepMind team improves RAG search quality
- Google Cloud Tech channel: Learn Hybrid Search with Vertex AI Vector Search
- Google Cloud blog: What is Multimodal Search: "LLMs with vision" change businesses (EN) (JP)
- Google Cloud blog: Vertex AI Embeddings for Text: Grounding LLMs made easy (EN) (JP)
- GitHub GoogleCloudPlatform repo: Vertex AI Vector Search Quickstart
- GitHub GoogleCloudPlatform repo: Getting Started with Text Embeddings + Vertex AI Vector Search
- Google IO 2023 session: Harnessing the power of generative AI to deliver next-gen search experiences
- Google Cloud Technical Series 2023 session: AI-UX: Transforming the user experience with Vertex AI and Discovery
- Google Cloud Tech channel: Vertex AI Embeddings API + Matching Engine: Grounding LLMs made easy
- Google Cloud Tech channel: How Recommendations AI for Media can boost customer retention
- Google Cloud Tech channel: Understanding Embeddings in one minute
- Cloud Next SF 2023 session: Predictive and generative AI projects with Vertex AI Feature Platform
- Google Cloud Tech channel: Get Started with Vector Search using Vertex AI
- Cloud Next Tokyo 2023 session: Multimodal embeddings with Vector Search
- Applied AI Summit session: Build LLM-powered apps with embeddings, vector search, and RAG
- Google Cloud blog: Enabling real-time AI with Streaming Ingestion in Vertex AI (EN) (JP)
- Google Cloud blog: EvoJAX: Bringing the Power of Neuroevolution to Solve Your Problems (EN) (JP): co-authored with Google Research team
- Google Cloud blog: Mercari leverages Google's vector search technology to create a new marketplace (EN) (JP)
- MLOps on AI Platform at GDG Perth
- Google Cloud blog: Cloud AI in the developer community (EN)
- Google Cloud blog: Kickstart your organization’s ML application development flywheel with the Vertex Feature Store (EN) (JP)
- Google Cloud blog: Monitor models for training-serving skew with Vertex AI (EN) (JP)
- Google Cloud blog: Monitoring feature attributions: How Google saved one of the largest ML services in trouble (EN) (JP)
- Google Cloud blog: Coca-Cola Bottlers Japan collects insights from 700,000 vending machines with Vertex AI (EN)
- Google Cloud blog: Find anything blazingly fast with Google's vector search technology (EN) (JP): featured on HackerNews as #3 article
- Google Cloud blog: How Google Cloud helped scaling-out one person's AI service—and his life (EN) (JP)
- Google Cloud blog: Rhizomatiks' new Squarepusher MV and how it is empowered with Google Cloud (JP only)
- How to convert PDFs to audiobooks with machine learning with Dale Markowitz
- Using AI in manufacturing for increased productivity at Next OnAir '20 Demos with Yufeng Guo
- Productionizing ML on Google Cloud at Next OnAir '20 Demos with Yufeng Guo
- From Siloed ML to ML Service Mesh Using API Management at Next OnAir '20 Sessions with Rakesh Talanki
- ML Ops Best Practices on Google Cloud at Cloud Next SF 2019
- Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems at Google I/O'19
- GCP blog: Now live in Tokyo: using TensorFlow to predict taxi demand (EN) (JP)
- GCP blog: AutoML Vision in action: from ramen to branded goods (EN) (JP): featured on The Keyword, Jeff Dean's tweet, and Fei-Fei Li's talk at Google I/O.
- GCP blog: Google's ML enables Perfume and Rhizomatics' new challenge on media art (JP only)
- GCP blog: What makes TPUs fine-tuned for deep learning? (EN) (JP)
- FOSS Asia keynote: Real-world Machine Learning with TensorFlow and Cloud ML
- Google I/O session: Machine learning models + IoT data = a smarter world
- Google Cloud Next SF session What is ML Ops?
- What is Tensor Processing Unit?
- GCP blog: Using machine learning for insurance pricing optimization (EN)
- GCP blog: An in-depth look at Google’s first Tensor Processing Unit (TPU) (EN) (JP): co-authored with Cliff Young from the TPU team
- GCP blog: Build your own machine-learning-powered robot arm using TensorFlow and Google Cloud (EN) (JP)
- GCP blog: How Aucnet leveraged TensorFlow to transform their IT engineers into machine learning engineers (EN)
- Opensource.com blog: TensorFlow brings machine learning to the masses (EN)
- GCP blog: My summer project: a rock-paper-scissors machine built on TensorFlow (EN) (JP): featured on The Keyword, Jeff Dean's Research blog and Eric Schmidt's tweet.
- BigQuery and Cloud Machine Learning: advancing neural network predictions (Google Cloud Next '17)
- Android Meets TensorFlow: How to Accelerate Your App with AI (Google I/O '17)
- Android Meets TensorFlow: How to Accelerate Your App with AI (GDD India 2017)
- Classifying Manhattan with TensorFlow (Cloud Next '17)
- Image similarity search with BigQiery (Cloud Next '17)
- Find your Candy (Cloud Next '17)
- Real-world Machine Learning with TensorFlow and Cloud ML (GDD India 2017)
- Explore the Galaxy of images with Cloud Vision API (EN)
- Understanding neural networks with TensorFlow Playground (EN) (JP)
- How a Japanese cucumber farmer is using deep learning and TensorFlow (EN) (JP): featured on The Newsweek, The New Yorker and several keynotes at Cloud Next and Google I/O.
- What is Cloud Vision API
- What is Cloud Speech API
- How to build a smart RasPi Bot with Cloud Vision and Speech API - Google I/O 2016
- Google Cloud Technical Series (Singapore/Online)
- Google IO 2024
- Google Cloud Technical Series (Singapore/Online)
- Google IO 2023 (Online)
- Google Cloud Day 2023 (Tokyo/Online)
- Google Cloud Next 2023 (San Francisco)
- Big Data & AI World Asia 2023 (Singapore)
- Google Cloud Next 2023 (Tokyo)
- DevFest Seoul (Seoul)
- Applied AI Summit (Americas/Online)
- Google Cloud Next '22 US
- Google Cloud Next '22 JP
- Google Cloud Innovators Live JP
- Google Cloud Innovators Hive JP
- Google Cloud Innovators Gym (online)
- GDG Perth (online)
- GDG Cloud Singapore (online)
- NVIDIA GTC 2021 Spring (online)
- Google I/O (online)
- Google Cloud ML Practitioner Summit (Online)
- TensorFlow Dev Summit, Sunnyvale (session replaced)
- ML Bootcamp (online)
- Google Cloud Day (online, keynote)
- DeveloperWeek Global (online)
- Google Cloud Talks by DevRel (online)
- Google Cloud FinServ workshop (online)
- Google Next OnAir (online)
- Google Developers ML Summit, US (online)
- Google DevFest Adelaide, Brunei, Central Asia, Indonesia and Tokyo (online)
- Global AI Conf, US (online)
- Open Source Summit Europe (online)
- Google Developers ML Summit, Tokyo
- Google Developers ML Summit, Seoul
- Google Developers ML Summit, Taipei
- Let's Talk AI, Taipei
- Google Cloud Next, San Francisco
- Google I/O, Mountain View
- SREcon19 Asia, Singapore
- O'Reilly AI Conf, Beijing
- Google Cloud Next, Tokyo
- Google Developer Day, Shanghai
- Google DevFest Mumbai and Indore
- Heapcon, Belgrade
- Google GDE Summit, Santa Clara
- O'Reilly TensorFlow World, Santa Clara (featured speaker)
- Futuristic App Day, Tokyo
- FOSS Asia, Singapore (keynote)
- NVIDIA GTC, Santa Clara (featured speaker)
- O'Reilly AI Conf, Beijing
- IEEE COOL Chips, Yokohama (keynote)
- AI Congress, Las Vegas
- O'Reilly AI Conf, NYC
- WeAreDevlopers, Vienna
- Google I/O, Mountain View
- Google for Mobile, Seoul/Tokyo
- Google Cloud Next, San Francisco
- Google Cloud Next, Tokyo (keynote)
- O'Reilly AI Conf, London
- GDG DevFest 2018, Melbourne
- GOTO, Copenhagen
- IEICE Design Gaia 2018, Hiroshima
- Google Developers ML Summit, Tokyo (keynote)
- Kalaari Future of AI, Bangalore
- Global AI Conf, Santa Clara
- Developers Summit, Tokyo
- APAC ML Expert Day, Singapore
- Google Cloud Next, San Francisco
- Cloud Conf, Turin
- Slush Tokyo
- ODSC East, Boston
- DevFest DC, Washington DC
- Google I/O, Mountain View
- Apache Big Data, Miami
- IoT World, Santa Clara
- Strata Data Conf, London
- Data Science Summit EU, Jerusalem
- Open Source Summit, Tokyo
- APAC Innovation Summit, Hong Kong
- Apps Japan, Tokyo
- Google Cloud Next, Tokyo
- ML Code Camp, Jeju
- InfiniteConf, London
- AI Summit, Hong Kong
- Google for Mobile, Tokyo
- JupyterCon, New York
- Open Source Summit North America, Los Angeles
- Google Cloud Summit, Mumbai and Bangalore
- ODSC Europe, London
- VoxxedDays, Belgrade
- Data Scientist Association Symposium, Tokyo
- Gartner Symposium, Tokyo
- Horizons, Vienna
- Cloud Expo Europe, Paris
- GOTO Berlin
- GDD India (keynote)
- Strata Data Conf, Singapore
- Software Architecture Conference, London
- WebTech Conf, Munich
- ODSC West, Santa Clara
- Think with Google, Tokyo
- Strata + Hadoop World, San Jose
- Google I/O, Mountain View
- ODSC East, Boston
- GOTO Amsterdam
- Hadoop Summit, San Jose
- Google for Mobile, Tokyo and Korea
- Google Atmosphere, Melbourne and India
- MLconf, Atlanta