Gemini for Google Cloud is a new generation of AI assistants designed for developers, Google Cloud services, and applications. It helps users work and code more effectively, gain deeper data insights, navigate security challenges, and more. By leveraging Google's Gemini family of models, teams can accomplish more tasks efficiently in the cloud. The platform offers enterprise-ready AI capabilities with robust security, compliance, and privacy controls, along with industry-leading availability.

Gemini Code Assist provides several features to enhance software development:

• AI-powered assistance for building applications with higher velocity and quality.
• Compatibility with popular code editors like VS Code and JetBrains.
• Support for private codebases across various hosting services such as on-premises, Gitlab, Github, Bitbucket, and across multiple repositories.
• Enterprise-grade coding assistance solution that enables organizations to adopt AI assistance at scale.
• Full codebase awareness and code customization capabilities (both in private preview) for large-scale changes and tailored assistance.
• Integration Services with Apigee and Application Integration.
• Ecosystem enhancements with data and knowledge sources from multiple partners.

Gemini Cloud Assist enhances application lifecycle management by providing:

• Goal-driven design to generate tailored architecture configurations.
• Guided operations and troubleshooting for quick incident resolution.
• Tailored optimizations for performance, cost savings, or high availability.
• Time-saving features like alert summarization and contextual troubleshooting.

It's directly accessible through a chat interface in the Google Cloud console and is currently in private preview.

Gemini in Security introduces new AI capabilities to boost the productivity of security teams:

• Assisted investigation feature in Chronicle for detecting, investigating, and responding to threats.
• Gemini in Threat Intelligence for accessing Mandiant’s threat intelligence using conversational search.
• Gemini in Security Command Center for summarizing alerts and providing recommendations to mitigate risks.

These features are built on the SecLM API, which enhances security specificity and extensibility.

Gemini in BigQuery offers numerous benefits for data engineers and analysts:

• A new data canvas for a notebook-like experience with natural language support and embedded visualizations.
• AI augmented data preparation for data cleansing and wrangling.
• Low-code visual data pipeline development tools and intelligent recommendations for query performance, error minimization, and cost optimization.
• Ability to create SQL or Python code using natural language prompts.

These features aim to improve productivity, query performance, and cost optimization throughout the analytics lifecycle.

Conversational Analytics in Gemini in Looker is a new offering in private preview that provides multi-turn capabilities, allowing users to engage in a chat-like interaction with their business data. It offers a dedicated space in Looker to initiate a chat on any topic with your data and derive insights quickly, facilitating discovery and analysis.