Build enterprise-grade AI agents with Azure AI Agent ServiceNaoki (Neo) SATO
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Build enterprise-grade AI agents with Azure AI Agent Service (Machine Learning 15minutes! Hybrid #97)
https://satonaoki.wordpress.com/2025/01/25/ml15min_azure_ai_agent_service/
[Machine Learning 15minutes! Broadcast #67] Azure AI - Build 2022 Updates and...Naoki (Neo) SATO
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The document discusses updates to Azure AI and machine learning services from Microsoft. Key updates include new responsible AI tools like a dashboard and scorecard, expanded capabilities for Azure Machine Learning like reusable pipeline components and automated ML for NLP and images, as well as general availability of custom entity recognition, text classification, and document translation. It also previews conversational language understanding and document/conversation summarization.
[Machine Learning 15minutes! #61] Azure OpenAI ServiceNaoki (Neo) SATO
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This video discusses the early history of speech recognition and voice assistants, including IBM's experimental Switchboard system which used cellular networks to allow callers to have spoken conversations with computers over the phone in the 1970s. The Switchboard project helped advance speech recognition and natural language processing but still had significant limitations in understanding full conversations.
[Developers Festa Sapporo 2020] Microsoft/GitHubが戻工するDeveloper Cloud (Develop...Naoki (Neo) SATO
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* [Developers Festa Sapporo 2020] Microsoft/GitHubが戻工するDeveloper Cloud (Developer Cloud from Microsoft/GitHub)
* https://satonaoki.wordpress.com/2020/12/05/devfesta-microsoft-github/
* https://www.youtube.com/watch?v=sqWnreBtHBg&t=151s
[及2指 Azure Cosmos DB 茶氏] Data modelling and partitioning in Azure Cosmos DB ...Naoki (Neo) SATO
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The document discusses data modeling and partitioning in Azure Cosmos DB. It begins with an overview of Cosmos DB's scalability and flexibility as a non-relational database. It then walks through modeling common entities like customers, products, orders and optimizing the data model and partitioning strategy. The key aspects covered include choosing a partition key, embedding vs referencing data, denormalizing for performance, and using change feeds to keep data synchronized across partitions.
[及45指 Machine Learning 15minutes! Broadcast] Azure AI - Build 2020 UpdatesNaoki (Neo) SATO
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1. Azure AI provides updates on advances in AI capabilities such as object recognition reaching human parity in 2016 and machine translation reaching human parity in 2018.
2. Responsible AI practices at Microsoft include interpretability, fairness, and privacy tools to ensure AI systems are understandable, unbiased, and protect user data.
3. Differential privacy and homomorphic encryption techniques allow training models and performing inferences on encrypted user data to enable private and confidential machine learning.
[db tech showcase Tokyo 2019] Azure Cosmos DB Deep Dive ~ Partitioning, Globa...Naoki (Neo) SATO
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[db tech showcase Tokyo 2019] Azure Cosmos DB Deep Dive ~ Partitioning, Global Distribution and Indexing ~
https://satonaoki.wordpress.com/2019/09/30/dbts2019-azure-cosmos-db-deep-dive/
How to work with technology to survive as an engineer (エンジニアとして伏き火るためのテクノロジ`と...Naoki (Neo) SATO
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This document provides an overview of Sato Naoki's career and advice for engineers on working with technology. It summarizes Naoki's experience as a software engineer at Oracle and Microsoft, his roles in evangelism and technical writing. It then offers tips for engineers on career design, including keeping skills up to date, learning languages, collaborating in communities, and using public cloud services. The document advocates designing your own career path and paying knowledge forward through sharing.
ChatGPTを聞うと、プログラミングを方rgで誼することができます
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https://powergpt.info/python%E3%83%97%E3%83%AD%E3%82%B0%E3%83%A9%E3%83%9F%E3%83%B3%E3%82%B0%E5%85%A5%E9%96%80
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