Gemini for Google Cloud
AI-powered assistant that helps you to be more productive and creative.
Gemini for
Google Cloud:
The Next Generation
of AI Models
Gemini is Google’s next generation foundation model that combines the capabilities of large language models with impressive multimodal capabilities. It’s designed to power a range of applications and experiences, from intelligent chatbots to creative tools and beyond.
Gemini for Google Cloud helps you be more productive and creative. It can be your writing and coding assistant, creative designer, expert adviser, or even your data analyst. Seamlessly integrated across Google Cloud and Google Workspace, Gemini is always at your side, helping you accomplish more in less time.
Gemini adheres to the structurally safe approach to security. In fact, Google keeps more people safe online than anyone else, and their priority is to protect the confidentiality and privacy of your data.
The Gemini era is here, bringing the magic of AI to the tools you use everyday.
Gemini for Google Cloud is your AI-powered assistant
- Software development
- Application lifecycle
- Security
- Data analytics
- Databases
 Gemini Code Assist
AI-assisted application development
Gemini Code Assist offers AI-powered software development assistance to help development teams build high quality applications faster, better, and more securely.
It is built using Google’s Gemini models to provide generative AI assistance to developers in IDEs with capabilities such as auto code completion, code generation, natural language chat, and more.
Key Features:
AI code assistance – Gemini Code Assist completes your code as you write, and generates whole code blocks or functions on demand. Code assistance is available in many popular IDEs, such as Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Cloud Workstations, Cloud Shell Editor, and supports 20+ programming languages, including Java, JavaScript, Python, C, C++, Go, PHP, and SQL.
Natural language chat – Through a natural language chat interface, you can quickly chat with Gemini Code Assist to get answers to your coding questions, or receive guidance on coding best practices. Chat is available in all supported IDEs.
Code customization (Preview) – Enterprises can customize Gemini Code Assist using their organization’s private codebases and knowledge sources so that Gemini Code Assist can offer more tailored assistance (for example, enterprise developers can get code suggestions more pertinent to their private codebases, or Gemini can guide them to relevant documentation or pre-existing solutions within their own organizations).
Gemini Code Assist is available to try at no cost until November 8, 2024, limited to one user per billing account. Contact us to find out more.
 Gemini Cloud Assist
Efficiently manage the application lifecycle in Google Cloud
Gemini Cloud Assist uses AI integrated with your Google Cloud environment to provide application lifecycle management assistance. It analyzes your cloud environment, your resources deployed, as well as metrics and logs to deliver actionable insights tailored to your needs.
Key Features:
Integrated experience – Accessible through chat and directly embedded into the Google Cloud console product interfaces.
Accelerated outcomes – Achieve cloud goals faster across design, deployment, troubleshooting, and optimization.
Simplified Tasks – Reduce complexity of key cloud workflows with automation and intelligent guidance.Â
Tailored assistance – Get a personalized experience based on your specific environment and usage of Google Cloud products.
Data privacy and security – Conforms to your existing permissions, accessing only the data, operations, and tasks that are authorized for any given user.
Responsible AI – AI is transforming industries and solving important, real-world challenges at scale. This vast opportunity carries with it a deep responsibility to build AI that works for everyone.
Gemini Cloud Assist is currently in private preview.
 Gemini in Security
Supercharge threat detection, investigation, and response
Gemini in Security provides generative AI-powered assistance to cloud defenders where and when they need it.
Key Features:
Gemini in Threat Intelligence offers AI-powered capabilities that allow you to tap into Mandiant’s frontline threat intelligence and quickly receive insights and summaries about threat actor behavior. It includes Code Insight, which helps analyze and explain the behavior of potentially malicious code without needing to reverse engineer scripts.
Reduce toil and manual work
Gemini in Security Operations can reduce much of the repetitive work that plagues cybersecurity practitioners. We are helping reduce the toil it takes to manage multiple environments, investigate incidents, and respond in a timely manner.
Gemini in Security Operations enables you to use natural language to generate queries and interact with security event data conversationally. It also assists investigations by surfacing contextual information, offering recommendations for quick response, and aiding the remediation of events.
Simplify security for experts and non-experts alike
We anticipate that advances in generative AI will profoundly change how practitioners across skill levels “do” security. AI-assistive features can help teams proactively mitigate risk and usher in a new era of effectiveness.
Gemini in Security Command Center summarizes high-priority alerts for misconfigurations and vulnerabilities, highlighting potential impact and recommending mitigations before assets can be exploited.
*Read the “State of AI and Security Survey Report” to gain insights into how industry experts view and prepare for AI’s evolving role in cybersecurity.
 Gemini in BigQuery
Accelerates data and analytics workflows with AI
Gemini in BigQuery provides AI-powered assistive and collaboration features, including code assist, visual data preparation, and intelligent recommendations that help enhance productivity and optimize costs. BigQuery provides a single, unified workspace that includes a SQL, a notebook, and a NL-based canvas interface for data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use.
Key Features:
Accelerate data preparation with AI – To simplify data preparation, validation, and enrichment, BigQuery now includes AI augmented data preparation that helps users to cleanse and wrangle their data. Additionally we are enabling users to build low-code visual data pipelines, or rebuild legacy pipelines in BigQuery.Â
Kickstart the data-to-insights journey – Gemini in BigQuery provides new semantic search capabilities to help you pinpoint the most relevant tables for your tasks. Leveraging the metadata and profiling information of these tables from Dataplex, Gemini in BigQuery surfaces relevant, executable queries that you can run with just one click.Â
Reimagine analytics workflow with natural language – The new BigQuery data canvas providesa reimagined natural language-based experience for data exploration, curation, wrangling, analysis, and visualization, allowing you to explore and scaffold your data journeys in a graphical workflow that mirrors your mental model.Â
Gemini in Looker
Analyze governed data, deliver business insights, and build AI-powered applications
Gemini in Looker (preview) provides an always-on intelligent assistant that enables you to have conversations with your data and helps you automatically create and share your insights even faster, with automated reports and visualizations.
Key Features:
Conversational analytics brings your data to life – Â In combination with LookML semantic models available from Looker, we establish a single source of truth for your data, providing consistent metrics across your organization. Now, your entire company, including business and analyst teams, can chat with your data and obtain insights in seconds, fully enabling your data-driven decision-making culture.
Smart and simple modeling on a trusted foundation – Simply tell Gemini in Looker what you are looking to build, and the LookML code will be automatically created for you, setting the stage for governed data, powered by generative AI, easier than ever before.Â
 Gemini in Databases
Supercharge database development and management with AI
Gemini in Databases (in Preview) is an AI-powered assistant designed to be your ultimate database companion. It helps you in every aspect of the database journey across development, performance optimization, fleet management, governance, and migrations.
Key Features:
Assisted development – Database Studio empowers developers to easily generate and summarize SQL code with intelligent code assistance, code completion, and guidance directly in the editor. A context-aware chat interface helps developers build database applications faster using natural language.
Performance optimization – Gemini in Databases automatically analyzes your workloads, highlights problems, and provides recommendations to resolve them. It simplifies the intricate troubleshooting process by providing contextual explanations for complex database concepts and metrics.
Fleet management – Database Center offers reliability engineers and platform engineers a single pane of glass to view their entire database fleet. This new dashboard provides a central view on database performance, security, cost, and availability to proactively monitor and identify instances that need attention.
Proactively mitigate risks and ensure compliance – Database Center delivers simplified security configuration with automated scans, providing recommendations to mitigate risks and promote industry best practices. These recommendations help secure databases by hardening network security, access management, data protection, and audit capabilities.
Streamline and accelerate database migrations – With the help of Gemini, database administrators can examine and convert database-resident code such as stored procedures, triggers, and functions, to a PostgreSQL-compatible dialect. The explainability feature helps developers easily learn new PostgreSQL dialects and optimize SQL code.
Key features of
Gemini for
Google Cloud
Conversational assistance through a chat interface
You can quickly chat with Gemini for Google Cloud to get answers to cloud questions, or receive guidance on best practices. Gemini for Google Cloud is specifically trained on Google Cloud content like docs and sample code.
Fully managed, ready to use
You don't have to know anything about the world of AI to take advantage of Gemini for Google Cloud. As a fully managed service, it is regularly updated, monitored, and uses the latest-tested AI technology from Google.
AI-powered code assistance
Whether you are writing apps, calling APIs, or querying data, Gemini Code Assist can help complete your code while you write, or generate code blocks based on comments. Supports 20+ programming languages.
Code assistance is available in multiple IDEs
Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Colab for Enterprise, Cloud Workstations, Cloud Shell Editor, Cloud Spanner, and BigQuery.
Designed to respect intellectual property
You can rest assured that your code, inputs, and recommendations will not be used for any product and model learning and development. Your data and IP remain exclusively yours.
Learn more about
Gemini-powered
solutions
DATASHEET
Enterprise search and chat experience with generative AI
Learn how to develop and deploy Google-quality search for websites, structured and unstructured data faster, grounded in your enterprise data. Create AI agents and applications using natural language or a code-first approach.
DOWNLOAD DATASHEET »HANDBOOK
Gemini for Google Workspace:
A new and powerful way of working with generative AI
A guide on how generative AI and Google Workspace are transforming work for the better
DOWNLOAD HANDBOOK »Gemini for Google Workspace
The AI-powered assistant from Google, built right into Gmail, Docs, Sheets, and more, with enterprise-grade security and privacy.
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