The Latest Announcements from Google Cloud Next 2024

by

in

– Google’s Cloud Next 2024 event in Las Vegas features new cloud-focused updates on AI, devops, security, and enterprise solutions
– Google introduces Google Vids, Vertex AI Agent Builder, Gemini in Databases, and other AI-powered tools and features
– Google also focuses on data sovereignty, security tools, and updates to Google Workspace with new AI capabilities and monetization plans

Google’s Cloud Next 2024 event in Las Vegas is showcasing new cloud-focused news, including updates on Gemini, Google’s AI-powered chatbot, AI tools, devops, and security. Google is demonstrating its dedication to AI with new releases like Duet AI for Gmail and expanding generative AI to its security product line. The event is highlighting enterprise-focused updates and debuts in various areas.

Several key announcements were made at the event, including the introduction of Google Vids, a new AI-fueled video creation tool integrated into Google Workspace, allowing users to create videos using various Workspace tools. Another highlight is the Vertex AI Agent Builder, a tool designed to help companies build AI agents for conversational interactions, leveraging Google Search for accurate responses.

Google has also unveiled Gemini in Databases, a collection of AI-powered tools to simplify the database journey for Google Cloud customers. The company is renewing its focus on data sovereignty through partnerships and introducing new security tools with AI capabilities to help large companies analyze threats and enhance cybersecurity measures.

Other notable announcements at the event include Google Workspace updates, the introduction of Chrome Enterprise Premium for enhanced security capabilities, Gemini 1.5 Pro as Google’s most capable generative AI model, and the release of several open-source tools to support generative AI projects and infrastructure. Additionally, Google announced the development of Axion, its first custom-built Arm processor for improved performance and energy efficiency compared to existing Arm-based instances from competitors.

Source link