#Google Cloud AI

[ykinfotech]

How to Use Google Cloud AI and Machine Learning Services

Artificial intelligence (AI) and machine learning (ML) are transforming businesses by enabling smarter decision-making, automation, and predictive analytics. Google Cloud offers a comprehensive suite of AI and ML services that help developers and enterprises build intelligent applications with minimal effort. Whether you are a beginner or an advanced user, Google Cloud provides powerful tools that make AI accessible and scalable.

Understanding Google Cloud AI and ML Services

Google Cloud provides several AI and ML services, each catering to different needs. Here are the primary services:

Vertex AI – A unified AI platform that allows you to build, deploy, and scale ML models with minimal code.

AutoML – Enables users to train custom machine learning models without needing extensive coding knowledge.

AI Hub – A repository of pre-trained models and AI tools for faster development.

TensorFlow on Google Cloud – Provides an optimized environment for training deep learning models using TensorFlow.

Cloud Natural Language API – Allows applications to analyze and extract meaning from text.

Cloud Vision API – Enables image recognition, object detection, and text extraction from images.

Dialogflow – A tool for building conversational AI, such as chatbots and voice assistants.

Speech-to-Text and Text-to-Speech APIs – Convert audio to text and vice versa with high accuracy.

Cloud Translation API – Offers real-time language translation for multilingual applications.

Getting Started with Google Cloud AI & ML

To start using Google Cloud AI and ML services, follow these steps:

1. Set Up a Google Cloud Account

Visit the Google Cloud website and create an account. Google offers a free trial with $300 in credits, allowing you to explore AI services at no cost.

2. Enable AI & ML APIs

Once your account is active, navigate to the Google Cloud Console and enable the AI/ML APIs you need. For example, if you want to use AutoML, enable the AutoML API.

3. Install Google Cloud SDK

Download and install the Google Cloud SDK to interact with AI services via command-line tools.

4. Prepare Your Data

AI models require high-quality data. Google Cloud provides tools like Cloud Storage and BigQuery to store and manage datasets efficiently.

5. Choose the Right AI Service

Depending on your use case, choose an appropriate service:

If you need to classify images, use the Cloud Vision API.

For natural language processing, use the Cloud Natural Language API.

To build chatbots, utilize Dialogflow.

6. Train and Deploy Models

Use Vertex AI or AutoML to train and deploy models. Google Cloud provides pre-trained models and AutoML capabilities to streamline the process.

Real-World Applications of Google Cloud AI

Google Cloud AI and ML services are widely used across industries. Some common applications include:

Healthcare – AI-powered diagnostics, medical imaging analysis, and patient data insights.

Finance – Fraud detection, credit scoring, and predictive analytics.

Retail – Personalized recommendations, demand forecasting, and chatbots for customer support.

Manufacturing – Predictive maintenance, quality control, and automation.

Marketing – Sentiment analysis, ad targeting, and customer segmentation.

Best Practices for Using Google Cloud AI

Use AutoML for Quick Prototyping – If you are new to AI, AutoML can help you create models without deep expertise.

Optimize Costs – Monitor usage and leverage Google Cloud's cost-management tools.

Ensure Data Privacy & Security – Google Cloud offers built-in security measures, but always follow best practices for data protection.

Continuously Train Models – AI models improve over time with more data. Regularly update and retrain models to maintain accuracy.

Leverage Pre-Trained Models – Google Cloud provides several pre-trained models to speed up development and reduce resource costs.

Final Thoughts

Google Cloud AI and Machine Learning services make it easier than ever to implement AI in your applications. Whether you need to build a chatbot, analyze images, or automate tasks, Google Cloud has the tools to help you succeed. By following best practices and leveraging the right services, businesses can enhance efficiency, reduce costs, and gain valuable insights from their data. If you're looking for expert guidance, consider working with a Google Cloud Services Provider to get the most out of AI and ML.

[weirdly-specific-but-ok]

Well, AI's done it again... this was interesting.

Well you heard the AI gods, maggots... Time to start eating clouds...

[littlest-bugz]

Me, writing my silly little book in google docs : ^u^

Google Docs : Why dont you try Gemini to summarize this paragraph!!

Me, no thoughts, out loud : "Perish. Immediately."

[melyzard]

Time for a new edition of my ongoing vendetta against Google fuckery!

Hey friends, did you know that Google is now using Google docs to train it's AI, whether you like it or not? (link goes to: zdnet.com, July 5, 2023). Oh and on Monday, Google updated it's privacy policy to say that it can train it's two AI (Bard and Cloud AI) on any data it scrapes from it's users, period. (link goes to: The Verge, 5 July 2023). Here is Digital Trends also mentioning this new policy change (link goes to: Digital Trends, 5 July 2023). There are a lot more, these are just the most succinct articles that might explain what's happening.

FURTHER REASONS GOOGLE AND GOOGLE CHROME SUCK TODAY:

Stop using Google Analytics, warns Sweden’s privacy watchdog, as it issues over $1M in fines (link goes to: TechCrunch, 3 July 2023) [TLDR: google got caught exporting european users' data to the US to be 'processed' by 'US government surveillance,' which is HELLA ILLEGAL. I'm not going into the Five Eyes, Fourteen Eyes, etc agreements, but you should read up on those to understand why the 'US government surveillance' people might ask Google to do this for countries that are not apart of the various Eyes agreements - and before anyone jumps in with "the US sucks!" YES but they are 100% not the only government buying foreign citizens' data, this is just the one the Swedes caught. Today.]

PwC Australia ties Google to tax leak scandal (link goes to: Reuters, 5 July 2023). [TLDR: a Russian accounting firm slipped Google "confidential information about the start date of a new tax law leaked from Australian government tax briefings." Gosh, why would Google want to spy on governments about tax laws? Can't think of any reason they would want to be able to clean house/change policy/update their user agreement to get around new restrictions before those restrictions or fines hit. Can you?

SO - here is a very detailed list of browsers, updated on 28 June, 2023 on slant.com, that are NOT based on Google Chrome (note: any browser that says 'Chromium-based' is just Google wearing a party mask. It means that Google AND that other party has access to all your data). This is an excellent list that shows pros and cons for each browser, including who the creator is and what kinds of policies they have (for example, one con for Pale Moon is that the creator doesn't like and thinks all websites should be hostile to Tor).

[atcuality1]

Create Impactful Digital Experiences with Augmented Reality Development Services

At Atcuality, we believe in the power of augmented reality to transform how users interact with brands. Our augmented reality development services provide businesses with innovative solutions that captivate audiences by blending digital and real-world elements. This immersive technology enables users to visualize products, explore environments, and experience services in a whole new way. Our experienced team of developers and designers work collaboratively with clients to deliver custom AR applications that align with specific business goals. By adopting AR, businesses can enhance customer engagement, increase interaction, and differentiate themselves in a crowded market. With Atcuality’s augmented reality development services, you can create digital experiences that leave a lasting impression, building stronger connections with your audience. Discover how AR can benefit your brand and redefine customer interaction with Atcuality's expertise at your service.

[beyondthetemples-ooc]

Anyone know if LibreOffice has a mobile option? I've been using gdocs to edit pieces away from home when I don't have a chance to print a physical copy to mark up.

Microsoft Office, like many companies in recent months, has slyly turned on an “opt-out” feature that scrapes your Word and Excel documents to train its internal AI systems. This setting is turned on by default, and you have to manually uncheck a box in order to opt out.

If you are a writer who uses MS Word to write any proprietary content (blog posts, novels, or any work you intend to protect with copyright and/or sell), you’re going to want to turn this feature off immediately.How to Turn off Word’s AI Access To Your Content

I won’t beat around the bush. Microsoft Office doesn’t make it easy to opt out of this new AI privacy agreement, as the feature is hidden through a series of popup menus in your settings:On a Windows computer, follow these steps to turn off “Connected Experiences”:

File > Options > Trust Center > Trust Center Settings > Privacy Options > Privacy Settings > Optional Connected Experiences > Uncheck box: “Turn on optional connected experiences”

[pier-carlo-universe]

Workday annuncia una crescita del 12,6% nel primo trimestre 2026, rafforzando la presenza in Europa con una nuova sede a Dublino. Scopri tutti i dettagli su Alessandria Today.

[simple-logic]

#Guess Can you recognize this logo? 🤔 What’s your guess?

Comment Below👇

💻 Explore insights on the latest in #technology on our Blog Page 👉 https://simplelogic-it.com/blogs/

🚀 Ready for your next career move? Check out our #careers page for exciting opportunities 👉 https://simplelogic-it.com/careers/

[kyocipherfox]

グーグルクラウドがついに“仲間を呼んだ”！？ クラウド戦争の舞台は今や日本！ でもその裏には…地味で頼れる“あの企業たち”がいた！ クラウド戦隊ゴークラ（※非公式w）と日本のIT現場のタッグが、いま静かに未来を変えてるかも？ 「クラウドって他人事じゃないの？」って思ってた俺たち小市民にも、関係ある話だった…！ ↓↓グーグルの動きの裏をキョウがゆるく＆マジで解説↓↓ https://yp-kyo.com #yp-kyo #グーグルクラウド #クラウド戦争 #SIer連携 #小市民の視点 #DX

[govindhtech]

CodeRabbit GitHub builts AI code review agent with Cloud Run

CodeRabbit GitHub

CodeRabbit, a fast-growing AI code review platform, uses Google Cloud execute to safely execute untrusted code and cut code review time and mistakes in half.

CodeRabbit automates code reviews and improves code quality by comparing changes to the whole codebase and creating scripts for deeper analysis. Code hosting integration handles pull requests automatically.

To securely execute untrusted code, CodeRabbit needed a scalable, inexpensive, and secure execution environment to evaluate and run its clients' code.

You'll see how CodeRabbit utilised Google Cloud Run to construct an AI code review agent that can scale dynamically and safely manage massive amounts.

CodeRabbit integrates directly to GitHub and GitLab to automate pull request-triggered code reviews. Its interface with fundamental models analyses the whole change's impact, not just the updated files. This requires a sophisticated system that:

Clone the user's repository.

Install build environment requirements (npm install, go mod download, etc.).

Static analysis with 20+ linters and security scanners.

Run AI programs. Now things get really interesting. CodeRabbit's AI agent develops shell scripts to read the code, find patterns (using cat, grep, and ast-grep), and extract relevant information. Python code can be generated for analysis.

Use outside services. CodeRabbit generates and runs curl instructions to interact with Slack, Jira, and Linear.

Any solution must be safe, inexpensive, and scalable. By definition, analysed and run code is unreliable. It may have problems, be incomplete, or be dangerous.

The answer: Cloud Run

CodeRabbit seamlessly integrates many technologies to create a reliable and isolated execution environment:

Cloud Run services underpin CodeRabbit. First, a lightweight Cloud Run service validates subscriptions and invoicing and handles GitHub, GitLab, etc. webhook events. This service pushes a task to Google Cloud Tasks.

Google Cloud tasks: Serving as a queue isolates webhook handling from code execution. CodeRabbit now handles pull request surges without overloading.

The core of the system is Cloud Run execution service. Another Cloud Run service pulls tasks from Cloud Tasks. Every job requests code review. A 3600-second request timeout and 8 requests per instance allow this service to grow with CPU use. This setup is necessary since code reviews take 10–20 minutes. The Execution Service's in-memory volume mount holds the repository, build artefacts, and temporary files.

Sandboxing: A separate service identity lets you give all Cloud Run instances minimum IAM privileges. Both sandboxing levels are applied to all instances. CodeRabbit employs Cloud Run's second-generation Linux cgroup-capable microVM. CodeRabbit uses cgroups to restrict jailed processes and Jailkit to isolate processes within Cloud Run instances.

CodeRabbit prioritises sandboxing while running untrusted code, such as:

Rubocop and ESLint accept unique, unstable plugins.

LLM verification programs for codebase-wide analysis.

LLM CLI tasks like Jira or GitHub problem creation.

Python-based advanced analysis.

CodeRabbit scales dynamically using Cloud Run. During peak hours, over 200 Cloud Run computers submit 10 queries per second to CodeRabbit's Agentic PR Reviewer. Each big Cloud Run instance utilises 32GiB RAM and 8vCPUs. CodeRabbit's PR reviewer service on Cloud Run uses a lot of CPU, memory, and network traffic (downloading repositories and dependencies).

Try it yourself

CodeRabbit's use of Google Cloud Run shows how to build a secure, scalable, and affordable AI-powered code analysis platform. Their experience shows serverless technologies' promise, and their design can help developers solve similar difficulties. Cloud Run constantly adding features.

[chattingwithmodels]

Google AI Platforms

🤖 ai.google.dev = fast, simple, dev-friendly☁️ Vertex AI = scalable, secure, enterprise-ready⚖️ Choose: 🧪 quick tests → ai.google.dev | 🏗️ full apps → Vertex AI Gemini 2.5 Pro Deep Research Navigating Google’s AI Development Ecosystem: A Documentation Guide for Gemini API and Google Cloud Integration I. Navigating Google’s AI Development Ecosystem: Gemini API and Google Cloud/Vertex AI A.…

[aitalksblog]

Top Weekly AI News – April 11, 2025

AI News Roundup – April 11, 2025 Nuclear Power Is Back. And This Time, AI Can Help Manage the Reactors AI’s energy needs are fueling renewed interest in nuclear power, with AI tools being developed to improve reactor operations the wall street journal Apr 11, 2025 The AI infrastructure race hits a political reality check The rapid growth of AI data centers faces increasing opposition due to…

[dr-iphone]

Samsung 三星 AI 球型機器人 Ballie 今夏在美韓上市，會聊天、控智慧家電，還能幫你配衣服

Samsung 三星在 2020 年 CES 大展上展出球型機器人「Ballie」，這顆會滾動的黃色小球不只是可愛，更整合了 Google Gemini AI 模型，它不只能聽、能看、還能跟使用者自然對話，變身成為智慧家庭的 AI 管家。等了 5 年，如今三星和 Google Cloud 終於宣布這顆球型機器人將在今年夏天率先在美國與韓國上市。 Continue reading Samsung 三星 AI 球型機器人 Ballie 今夏在美韓上市，會聊天、控智慧家電，還能幫你配衣服

[impact-newswire]

Google announces agreement to acquire Wiz

Today we announced an agreement to acquire Wiz. Read our press release below, and learn more about what this means for Cloud customers and partners on the Cloud blog. Press Release – Mar 18, 2025 – MOUNTAIN VIEW, Calif. and NEW YORK, N.Y. (March 18, 2025)—Google LLC today announced it has signed a definitive agreement to acquire Wiz, Inc., a leading cloud security platform headquartered in New…

[northwoodsguru]

Explore the Big Rocks in AI—from big business expansions to open-source breakthroughs—and anchor ourselves amidst rapid change. #breath #globalchange