My past blogs and demos
Kaz Sato / Staff Developer Advocate, Cloud AI, Google Inc.
Kaz Sato, a Staff Developer Advocate focused on Cloud AI, has authored over 25 ML/AI blogs and demos for Google Cloud's official blog. His work has garnered attention from Jeff Dean and Eric Schmidt, and been featured in Newsweek and The New Yorker. He's a regular speaker at Google I/O and Cloud Next, and has presented internationally in 17 countries. Kaz also shares ML/AI updates with his 20,000 X 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。Xでは2万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)
- GitHub GoogleCloudPlatform repo: Handling large-scale embedding generation for Vertex AI Vector Search
- Google Cloud docs: Vertex AI Vector Search overview
- 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