<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Generative-Ai on IT News</title><link>https://it-news.jp/en/tags/generative-ai/</link><description>Recent content in Generative-Ai on IT News</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>IT News</copyright><lastBuildDate>Sun, 12 Jul 2026 07:05:28 +0900</lastBuildDate><atom:link href="https://it-news.jp/en/tags/generative-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>How to Use AI Search and Chatbots Effectively</title><link>https://it-news.jp/en/ai/ai-search-vs-chatbots/</link><pubDate>Sun, 19 Apr 2026 10:00:00 +0900</pubDate><guid>https://it-news.jp/en/ai/ai-search-vs-chatbots/</guid><description>&lt;img src="https://it-news.jp/img/thumbnail/ai-search-vs-chatbots-en.png" alt="Featured image of post How to Use AI Search and Chatbots Effectively" /&gt;&lt;p&gt;AI search and chatbots have become two major options for AI-powered information gathering. While both are based on generative AI technology, they excel in different areas and serve different purposes. This article explains their characteristics and how to choose the right tool for your needs.&lt;/p&gt;
&lt;h2 id="characteristics-of-ai-search"&gt;Characteristics of AI Search
&lt;/h2&gt;&lt;p&gt;AI search collects the latest information from the internet in real time and generates answers based on the results. Representative services include ChatGPT&amp;rsquo;s web browsing feature, Perplexity, and Google&amp;rsquo;s AI Overviews. AI search excels when you need up-to-date news or information from specific web pages.&lt;/p&gt;</description></item><item><title>How AI Agents Are Changing the Way We Work</title><link>https://it-news.jp/en/ai/ai-agent-work-changes/</link><pubDate>Thu, 26 Mar 2026 10:00:00 +0900</pubDate><guid>https://it-news.jp/en/ai/ai-agent-work-changes/</guid><description>&lt;img src="https://it-news.jp/img/thumbnail/ai-agent-work-changes-en.png" alt="Featured image of post How AI Agents Are Changing the Way We Work" /&gt;&lt;p&gt;AI agents are evolving rapidly, fundamentally changing how we approach work. Unlike traditional AI that simply provided information or answered basic questions, AI agents can autonomously plan tasks, execute them, and report results in an end-to-end fashion. This article explores how work styles are transforming in the age of AI agents and what we need to do to adapt.&lt;/p&gt;
&lt;h2 id="how-ai-agents-transform-business-processes"&gt;How AI Agents Transform Business Processes
&lt;/h2&gt;&lt;p&gt;The key feature of AI agents is their ability to create action plans for given goals and execute tasks by selecting the right tools along the way. For example, for meeting minutes, an AI agent can attend the meeting, transcribe the audio, extract key decisions, and automatically email the summary to all participants. This frees humans to focus on review and approval.&lt;/p&gt;</description></item><item><title>Basic Rules for Using Generative AI Safely at Work</title><link>https://it-news.jp/en/ai/generative-ai-safe-use-rules/</link><pubDate>Thu, 15 Jan 2026 10:00:00 +0900</pubDate><guid>https://it-news.jp/en/ai/generative-ai-safe-use-rules/</guid><description>&lt;img src="https://it-news.jp/img/thumbnail/generative-ai-safe-use-rules-en.png" alt="Featured image of post Basic Rules for Using Generative AI Safely at Work" /&gt;&lt;p&gt;As generative AI rapidly spreads across business environments, establishing safe usage rules has become an urgent priority for companies. Allowing unrestricted use without proper safeguards can lead to information leaks and compliance violations. This article covers the fundamental rules for using generative AI safely at work.&lt;/p&gt;
&lt;h2 id="rules-for-handling-input-information"&gt;Rules for Handling Input Information
&lt;/h2&gt;&lt;p&gt;The most critical consideration when using generative AI is the information you input. Many generative AI services may use input data for model training. Therefore, directly entering customer information, confidential corporate data, or personal details should be avoided. When using AI for work, consider abstracting or anonymizing information before input.&lt;/p&gt;</description></item><item><title>Successful AI Adoption Patterns in Companies</title><link>https://it-news.jp/en/ai/enterprise-ai-adoption-patterns/</link><pubDate>Sat, 10 Jan 2026 10:00:00 +0900</pubDate><guid>https://it-news.jp/en/ai/enterprise-ai-adoption-patterns/</guid><description>&lt;img src="https://it-news.jp/img/thumbnail/enterprise-ai-adoption-patterns-en.png" alt="Featured image of post Successful AI Adoption Patterns in Companies" /&gt;&lt;p&gt;As more companies pursue AI adoption, the gap between successful and unsuccessful organizations is becoming increasingly clear. The key is not simply deploying the latest AI tools, but selecting an adoption pattern that fits the organization&amp;rsquo;s characteristics and challenges. This article introduces representative successful AI adoption patterns for enterprises.&lt;/p&gt;
&lt;h2 id="bottom-up-adoption-pattern"&gt;Bottom-Up Adoption Pattern
&lt;/h2&gt;&lt;p&gt;In this pattern, employees in the field voluntarily start using AI tools, and once the benefits are recognized, deployment expands company-wide. The advantages are low initial cost and alignment with actual on-the-ground needs.&lt;/p&gt;</description></item></channel></rss>