Google Cloud Japan curated content
Carefully selected resources that will guide you on how to best use Google Cloud, with examples of the latest in generative AI, data analysis, modern app development, infrastructure, and security. From beginner to advanced levels, there are plenty of tips on how to effectively use the best in cloud technology.
* Content in Japanese only.
Application strategy to unleash the true value of Generative AI
This report introduces trends that show the growing expectations of Japanese companies for generative AI. It focuses on application strategies that are essential for extracting value from generative AI, outlines the need for applications and the diversified approaches to providing them, and presents a method for evaluating application forms in consideration of their compatibility with use cases envisioned by companies.
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#ALL: Google Cloud Next '24 Las Vegas summary session materials released (Japanese)A summary of the main topics announced at Google Cloud Next '24 in Las Vegas, including generative AI, machine learning, infrastructure, data analytics, and Google Workspace, in Japanese. This article is available for both those who attended the event in person and those who were unable to attend.
#Generative AI: Learn about Google Cloud's Generative AI through manga - Generative AI is amazing! Learn about the potential of Generative AI in 10 minutesHow to generate code and ask code-related questions using Vertex AI's Codey, how to search images and text using Vertex AI Search (Vertex AI is now Agent Platform), and how to work efficiently using Gemini for Google Cloud.
#Database: Too late to ask? A super introduction to vector search - What should database users keep in mind?In this guide, we'll introduce what vector search is and how you can combine it with information stored in Google Cloud's managed databases, such as AlloyDB AI.
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#Infrastructure: A deep look at Google Cloud networking servicesGoogle Cloud's networking services have evolved significantly over the past year or two, and best practices have changed along with them. We'd like to share the latest updates on how our networking services have evolved and how to keep you up to date with them.
#Generative AI: The impact of generative AI and points to consider when using it in the enterpriseGenerative AI has great capabilities and is being considered for many use cases. However, there are certain risks involved when using it in enterprise. Here, we will explain the points to consider and the necessary measures from the system configuration perspective.
#Generative AI: The Executive Guide to Generative AIGenerative AI is becoming more and more popular, with many businesses taking notice and trying it out or considering adopting it. We've put together a guide to help businesses adopt generative AI and get started on their own journey. If you're considering adopting generative AI, be sure to check it out.
#AppDevelopment: Getting started with app development using Vertex AI Codey and Gemini for Google CloudWhile generative AI is becoming more widespread, there may be many developers who have missed the bandwagon. For those developers, this article will touch on developer services such as Vertex AI Codey (now Agent Platform) and Gemini for Google Cloud, explaining their features, scenarios in which they can be used, and how to use them.
#Infrastructure: Multimodal generative AI technology - What a "visual LLM" can doThis guide uses an image search demo as an example to illustrate the value that the multimodal capabilities of generative AI can bring to your business.
#AppDev: DevOps success: Learn from the winners of the first Google Cloud DevOps AwardsLearn DevOps success stories from 13 companies around the world recognized as leaders in their DevOps journey at the first Google Cloud DevOps Awards.
#Infrastructure: Achieving cloud financial resilience with Cloud FinOpsCloud reduces IT investments, optimizes operational costs, and drives innovation and new feature development. This guide shows you how to get started with FinOps to reduce costs, eliminate labor shortages, and improve data and insights that drive business innovation.
#GenerativeAI: How to achieve MLOps in the age of generative AI?Learn how MLOps is adapting to the era of generative AI by optimizing your MLOps pipeline and leveraging AI model management, evaluation, and security filters.
#Security: Google Cloud's security features, basics | Risk management achieved with Security Command CenterWe will introduce our approach to risk management along with the latest features of Security Command Center, which is considered one of the most fundamental security features offered by Google Cloud.
#Infrastructure: The latest from Vertex AI for implementing generative AI solutionsLearn about the latest from Vertex AI (now Agent Platform) for implementing generative AI solutions.
#DataAnalysis: Evolving Data Analysis with BigQuery and PaLMAfter introducing the machine learning features built into BigQuery, we will show you how to call Vertex AI's (now Agent Platform) large-scale language models (LLMs) directly from BigQuery and easily use them for advanced use cases such as embedding and vector search.
#Infrastructure: How to use and build "Vertex AI Extensions" to strengthen LLM"Vertex AI Extensions" (now Agent Platform) will show you how to use extensions provided by Google and partners, as well as how developers can build, manage, and deploy their own extensions.
#DataAnalysis: Key points for optimizing BigQuery performance to accelerate data analysisWe will introduce the architecture and optimization points that make BigQuery faster and more scalable. This is a must-read for companies considering adopting BigQuery.
#Infrastructure: Controlling costs with Google Cloud FinOps toolsLearn how FinOps tools can help customers understand, allocate, and effectively manage cloud costs.
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