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Daniel Gomez Alvarenga

Member since 2025

Diamond League

8750 points
Planetary Scale Earth Observation with Google Earth Engine Earned Mar 19, 2025 EDT
Security Practices with Google Security Operations - SIEM Earned Mar 15, 2025 EDT
Google Cloud AI and ML Solutions for the Public Sector Earned Mar 6, 2025 EST
Enterprise Search on Generative AI App Builder Earned Feb 27, 2025 EST
負責任的 AI 技術:透過 Google Cloud 採用 AI 開發原則 Earned Feb 26, 2025 EST
Google Cloud 的 AI 和機器學習服務簡介 Earned Feb 20, 2025 EST
Google Cloud 資料分析基本概念 Earned Feb 10, 2025 EST

Learn how public sector agencies and academic researchers leverage Google Earth Engine to distill meaningful insights from petabytes of Earth Observation at planetary scale. Google Earth Engine is a fully managed geospatial platform that has enabled research for more than a decade in environmental areas such as forestry, agriculture, water, and sustainability.

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Learn the technical aspects you need to know about Chronicle and how it can help you detect and action threats.

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Building a Conversational Interface with Dialogflow CX Building conversational interfaces will enable you to engage your constituents in delightful new ways. This section will provide an overview of Dialogflow CX, which provides a range of new capabilities, languages, and functions. Scaling Equity and Access with Enterprise Translation Hub Accurate, timely and cost effective document translation has long been a challenge to providing equitable and accessible service to all constituents. In this section, explore Google's Enterprise Translation solutions which provide scalable document translation leveraging best in class Artificial Intelligence and Machine Learning, while retaining the critical human in the loop for final post editing review.

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Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities. This course teaches you to use Generative AI App Builder to integrate enterprise-grade generative AI search.

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隨著企業持續擴大使用人工智慧和機器學習,以負責任的方式發展相關技術也日益重要。對許多企業來說,談論負責任的 AI 技術可能不難,如何付諸實行才是真正的挑戰。如要瞭解如何在機構中導入負責任的 AI 技術,本課程絕對能助您一臂之力。 您可以從中瞭解 Google Cloud 目前採取的策略、最佳做法和經驗談,協助貴機構奠定良好基礎,實踐負責任的 AI 技術。

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本課程介紹 Google Cloud 的 AI 和機器學習 (ML) 功能,著重說明如何開發生成式和預測式 AI 專案。我們也會探討「從資料到 AI」整個生命週期都適用的技術、產品和工具,並透過互動式練習,協助資料科學家、AI 開發人員和機器學習工程師精進專業知識。

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瞭解如何在 Google Cloud 將原始數據轉化為明確的資料導向決策。本初級課程提供實作研究室和實際情境,引導您在 BigQuery 查詢資料、在 Looker 探索趨勢,以及透過數據分析工具製作可共用的互動式報表。

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