What’s New in Google Cloud Next 2024?
Google Cloud recently announced numerous significant updates, which were shown at the Google Cloud Next 2024 event. These advancements highlight the company’s commitment to expanding AI technology and boosting user experiences across several platforms. Here is an in-depth look at what’s new:
Gemini AI Models
Google has made significant advances in AI with the release of the new generative AI (Gemini 1.5) and technical bootcamps for partners at the Google Cloud Next. This model is currently available in public preview, with major improvements in performance and multimodal capabilities. Gemini 1.5 can perform complicated tasks including text, audio, video, and other media, owing to its experimental 1 million token context windows, which allows it to analyze large volumes of data at once. This advancement opens up new opportunities for organizations to innovate, explore, and build using enhanced AI capabilities. Google’s Delivery preparation Portal now includes new features to help partners enhance customer outcomes and delivery preparation through data-driven tools.
Key Features of Gemini 1.5 AI
- Multimodal Capabilities: Supports complicated tasks which include text, audio, video, and other media.
- New Features to Delivery Readiness Portal: Google has upgraded its Delivery Readiness Portal with additional capabilities to assist partners in improving customer outcomes and increasing delivery readiness. This data-driven technology now provides quicker access to resources, resulting in improved partner assistance.
- 1 Million Context Window: This experimental feature enables the model to analyze large volumes of data, much above the prior limits of publicly accessible models.
- Enhanced Integration: Developers may integrate sophisticated AI functions into their apps using the Gemini API, which is available through Google AI Studio and supports over 38 languages in more than 180 countries.
Its multimodal features enable it to process audio, video, text, and code, increasing its usefulness in a variety of commercial contexts.
- Comprehensive Video Analysis: Using AI, you can analyze large volumes of video material, automating video tagging, anomaly detection, and content summarizing.
- Integrated Multimedia Incident Reports: Create complete reports with text, audio, and video to streamline incident response procedures.
- Multimodal Magic: Gemini 1.5 Pro is a complete multimodal model that can handle not just text, but also audio, video, and code. This adaptability opens up new opportunities across a wide range of commercial settings, including:
- Improved Customer Service: Use AI to evaluate customer conversations across different channels (text and voice) for better sentiment analysis and tailored interactions.
- Streamlined Product Development: Use product reviews, customer input, and technical documentation (text and code) to discover patterns, extract insights, and manage product development roadmaps.
AI Hypercomputer
Google Cloud Next has unveiled the AI Hypercomputer, a powerful new platform for developing and deploying sophisticated AI applications. This service delivers the vast computational capacity required to train huge AI models, ensuring that organizations can scale their AI-driven transformations. The AI Hypercomputer is projected to greatly improve production and efficiency across several sectors by satisfying organizations diversified computational demands.
Vertex AI Enhancements
Vertex AI, Google Cloud Next platform for maintaining and modifying AI models, has been significantly updated. With over a million developers now utilizing generative AI tools like as AI Studio and Vertex AI, the platform provides improved capabilities for connecting model outputs to verifiable sources, resulting in greater accuracy and dependability. These improvements include new AI models and tools that allow developers and enterprises to quickly create and manage AI solutions, hence promoting the development of creative apps.
- Grounding Model Outputs: Vertex AI now provides enhanced features for anchoring model outputs to verifiable sources. This assures that AI-generated material is based on accurate data, which increases trust in AI findings.
- Explainability and Transparency: Understand the thinking behind AI model outputs, which enables data-driven decision-making.
- Reduced Bias: To reduce the possibility of bias in AI-generated material, ensure that the outputs are based on credible data sources.
- Vertex AI’s Expanding Ecosystem: Expect ongoing upgrades and integrations to Vertex AI. This allows developers of any skill level up to:
- Simplify AI model development: Vertex AI offers pre-built components, automated workflows, and collaborative tools to help you expedite the development process.
- Deploy AI models: Deploy AI models at scale by easily deploying and managing them across several cloud environments, enabling efficient and widespread adoption.
- Monitor and optimize models: Monitor model performance and improve it for increased accuracy and efficiency.
Google Workspace Tools
Google Workspace has released many changes to improve user experience and accessibility. Voice typing and automated captioning, which were previously only available on Google Chrome, are now enabled on other browsers like as Edge and Safari, making them more accessible to a wider range of people. Additionally, Google is incorporating Gemini AI models into Google Workspace for Education. This integration includes AI-powered features like as note-taking, summaries in Google Meet, and sophisticated data loss prevention, all targeted at assisting instructors and students in improving productivity and learning outcomes through the use of advanced AI capabilities.
- Google Vids:
A new platform called Google Vids has been introduced, enabling users to create, edit, and produce work-related films. It includes tools like storyboard creation, style selection, and voiceover integration, which ease the video production process for consumers. Additional updates include AI-powered meeting summarization and translation tools, advanced email drafting features, and new integrations for generating images and insights from documents and data.
- New Collaborative Tools:
Google has added many new collaborative tools to Docs, Sheets, and Slides. This includes:
- Smart Chips: Users may now @-mention persons, files, and meetings in papers, making it simpler to link and retrieve pertinent information without switching tabs.
- Pageless Documents: This innovative format eliminates traditional page borders, allowing documents to grow dynamically in accordance with the device screen, which is excellent for broad tables and huge graphics.
- Emoji Reactions: Emoji reactions in Docs allow you to measure team reactions in real time while collaborative editing.
- Inclusive Language Recommendations: To increase writing quality, enhanced writing suggestions now offer more inclusive language possibilities as well as stylistic changes.
- Smarter Meeting Notes Template: This template automatically integrates essential information from Calendar invitations, such as attendance information and connected files.
- Connected Checklists: These allow for easy tracking and updating of tasks from inside Docs.
Infrastructure Improvements
- NVIDIA H100 Tensor Core GPUs: Use the NVIDIA H100 Tensor Core GPUs, which are now available on Google Cloud’s A3 Mega VMs, to accelerate your AI training workloads. These cutting-edge GPUs provide the computing power necessary for complicated AI models.
- Faster Training Times: Train your AI models in a fraction of the time thanks to the improved processing power provided by H100 GPUs.
- Improved Model Performance: With H100 GPUs’ expanded capabilities, you can fully realize the promise of your deep learning models.
- Hyperdisk ML: Hyperdisk ML is a new offering specifically designed for optimized AI serving workloads. This ensures that:
- Low Latency: Your AI models deliver results with minimal delay, crucial for real-time applications.
- High Performance: Experience exceptional performance from your AI models, enabling them to handle large volumes of requests efficiently.
- Dynamic Workload Scheduler: Manage Resources Efficiently: Optimize your cloud resource utilization with the Dynamic Workload Scheduler. This intelligent tool helps you to:
- Automated Resource Allocation: Automatically allocate computing resources based on your workload demands, maximizing efficiency and cost savings.
- Improved Cloud ROI: Get the most out of your Google Cloud investment by ensuring you’re only paying for the resources you actually use.
These updates reflect Google Cloud’s ongoing commitment to enhancing AI capabilities and providing robust infrastructure to support innovative business applications.
Enhanced Data Cloud Features
Google has significantly expanded the capabilities of its Data Cloud services. These enhancements include integration of Gemini AI model into Looker and BigQuery, introducing vector embeddings and natural language support in databases, and improving disaster recovery and maintenance in Cloud SQL.
- Business Impact: Transforming Industries : These advancements translate into tangible benefits for businesses across various industries:
- Enhanced Customer Experience: Leverage AI-powered tools like Google Vids and improved Artificial Intelligent Chatbots to personalize customer interactions and provide exceptional support.
- Data-Driven Decision Making: Gain deeper insights from your data with the combined power of Gemini and BigQuery, enabling smarter business decisions based on real-time information.
- Faster Time to Market: Streamline product development and content creation with generative AI tools like Gemini 1.5 Pro, allowing you to bring innovative products and services to market quicker.
- Improved Operational Efficiency: Optimize resource allocation and automate routine tasks with the Dynamic Workload Scheduler, reducing operational costs and freeing up resources for strategic initiatives.
- Reduced Risk and Increased Security: Benefit from Google Cloud Next commitment to security and leverage AI-powered threat detection tools like GKE threat detection to safeguard your data and infrastructure.
Summary
Google Cloud Next latest updates underscore their commitment to advancing AI and enhancing user accessibility. New features include the Gemini 1.5 AI model, the AI Hypercomputer, and expanded functionalities in Google Workspace and Vertex AI. These advancements are set to benefit businesses, educational institutions, and individual users by providing powerful, accessible, and efficient tools.
At Sensiple, we are ready to help you leverage these groundbreaking innovations. Our expert team can integrate Google Cloud’s advancements into your strategy, ensuring you stay ahead in a rapidly evolving technological landscape. Partner with us to transform your operations with cutting-edge AI solutions and cloud infrastructure. Let’s innovate together for a smarter, more efficient future.
About the Author:
Pawan Kumar Lakshmanan, an IVR Developer at Sensiple, brings two years of specialized experience in IVR solutions. He has a strong command of JavaScript and Node.js, and has effectively handled various projects involving Twilio, Google Cloud Platform (GCP), Amazon Web Services (AWS), Contact Center Services, and Dialogflow.
